The Internet of People (IoP): A new wave in pervasive mobile computing

Abstract Cyber–Physical convergence, the fast expansion of the Internet at its edge, and tighter interactions between human users and their personal mobile devices push towardan Internet where the human user becomes more central than ever, and where their personal devices become their proxies in the cyber world, in addition to acting as a fundamental tool to sense the physical world. The current Internet paradigm, which is infrastructure-centric, is not the right one to cope with such emerging scenario with a wider range of applications. This calls for a radically new Internet paradigm, that we name the Internet of People (IoP), where the humans and their personal devices are not seen merely as end users of applications, but become active elements of the Internet. Note that IoP is not a replacement of the current Internet infrastructure, but it exploits legacy Internet services as (reliable) primitives to achieve end-to-end connectivity on a global-scale. In this visionary paper, we first discuss the key features of the IoP paradigm along with the underlying research issues and challenges. Then we present emerging networking and computing paradigms that are anticipating IoP.

[1]  Xiang-Yang Li,et al.  Opportunistic coverage for urban vehicular sensing , 2015, Comput. Commun..

[2]  Boris Bellalta,et al.  Next generation IEEE 802.11 Wireless Local Area Networks: Current status, future directions and open challenges , 2016, Comput. Commun..

[3]  Jadwiga Indulska,et al.  A survey of context modelling and reasoning techniques , 2010, Pervasive Mob. Comput..

[4]  Sajal K. Das,et al.  Ensuring energy efficient coverage for participatory sensing in urban streets , 2014, 2014 International Conference on Smart Computing.

[5]  Paulo F. Pires,et al.  On the interplay of Internet of Things and Cloud Computing: A systematic mapping study , 2016, Comput. Commun..

[6]  Jean-Marie Bonnin,et al.  Cognitive radio for M2M and Internet of Things: A survey , 2016, Comput. Commun..

[7]  C. Boldrini,et al.  Data Dissemination in Opportunistic Networks , 2013, Mobile Ad Hoc Networking.

[8]  Didier Sornette,et al.  Discrete hierarchical organization of social group sizes , 2004, Proceedings of the Royal Society B: Biological Sciences.

[9]  Jay Lee,et al.  A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems , 2015 .

[10]  Mark H. Hansen,et al.  Participatory sensing - eScholarship , 2006 .

[11]  Thorsten Pachur,et al.  The Social Circle Heuristic: Fast and Frugal Decisions Based on Small Samples , 2005 .

[12]  Karin Anna Hummel,et al.  Adaptive role switching for fair and efficient battery usage in device-to-device communication , 2014, MOCO.

[13]  Sajal K. Das,et al.  FIDES: A trust-based framework for secure user incentivization in participatory sensing , 2014, Proceeding of IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks 2014.

[14]  Marco Mamei,et al.  Automatic identification of relevant places from cellular network data , 2016, Pervasive Mob. Comput..

[15]  Sajal K. Das,et al.  Relationship Privacy Preservation in Publishing Online Social Networks , 2011, 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing.

[16]  Marimuthu Palaniswami,et al.  Internet of Things (IoT): A vision, architectural elements, and future directions , 2012, Future Gener. Comput. Syst..

[17]  Diane J. Cook,et al.  Pervasive computing at scale: Transforming the state of the art , 2012, Pervasive Mob. Comput..

[18]  Marco Conti,et al.  Design and performance evaluation of ContentPlace, a social-aware data dissemination system for opportunistic networks , 2010, Comput. Networks.

[19]  Marco Conti,et al.  Service Composition in Opportunistic Networks: A Load and Mobility Aware Solution , 2015, IEEE Transactions on Computers.

[20]  Ellen W. Zegura,et al.  Computational ferrying: Efficient scheduling of computation on a mobile high performance computer , 2016, Comput. Commun..

[21]  Sajal K. Das,et al.  Impact of location history collection schemes on observed human mobility features , 2014, 2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS).

[22]  Berker Agir,et al.  A machine-learning based approach to privacy-aware information-sharing in mobile social networks , 2016, Pervasive Mob. Comput..

[23]  Marcelo Dias de Amorim,et al.  Push-and-track: Saving infrastructure bandwidth through opportunistic forwarding , 2012, Pervasive Mob. Comput..

[24]  Franca Delmastro,et al.  People-centric computing and communications in smart cities , 2016, IEEE Communications Magazine.

[25]  Dedao Gu,et al.  Urban Big Data and the Development of City Intelligence , 2016 .

[26]  Marco Conti,et al.  Information diffusion in distributed OSN: The impact of trusted relationships , 2016, Peer Peer Netw. Appl..

[27]  Pan Hui,et al.  BUBBLE Rap: Social-Based Forwarding in Delay-Tolerant Networks , 2008, IEEE Transactions on Mobile Computing.

[28]  Marco Conti,et al.  Mobile ad hoc networking: milestones, challenges, and new research directions , 2014, IEEE Communications Magazine.

[29]  Luciano Paschoal Gaspary,et al.  PredCloud: Providing predictable network performance in large-scale OpenFlow-enabled cloud platforms through trust-based allocation of resources , 2016, Comput. Commun..

[30]  Gerd Gigerenzer,et al.  Why Heuristics Work , 2008, Perspectives on psychological science : a journal of the Association for Psychological Science.

[31]  Sajal K. Das,et al.  Privacy preservation in wireless sensor networks: A state-of-the-art survey , 2009, Ad Hoc Networks.

[32]  Klara Nahrstedt,et al.  Characterizing and modeling people movement from mobile phone sensing traces , 2015, Pervasive Mob. Comput..

[33]  Sokol Kosta,et al.  Large-Scale Synthetic Social Mobile Networks with SWIM , 2014, IEEE Transactions on Mobile Computing.

[34]  Gunnar Karlsson,et al.  Energy-aware opportunistic mobile data offloading under full and limited cooperation , 2016, Comput. Commun..

[35]  Sajal K. Das,et al.  Compressive sensing based data quality improvement for crowd-sensing applications , 2017, J. Netw. Comput. Appl..

[36]  Barbara M. Masini,et al.  IEEE 802.11p for cellular offloading in vehicular sensor networks , 2015, Comput. Commun..

[37]  David Grace,et al.  TD-LTE virtual cells: An SDN architecture for user-centric multi-eNB elastic resource management , 2016, Comput. Commun..

[38]  Marco Conti,et al.  The Stability Region of the Delay in Pareto Opportunistic Networks , 2015, IEEE Transactions on Mobile Computing.

[39]  Raouf Boutaba,et al.  Network virtualization: state of the art and research challenges , 2009, IEEE Communications Magazine.

[40]  Albert-László Barabási,et al.  Evolution of Networks: From Biological Nets to the Internet and WWW , 2004 .

[41]  Massimo Gallo,et al.  Multipath congestion control in content-centric networks , 2013, 2013 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[42]  Jie Wu,et al.  Energy-Efficient Contact Probing in Opportunistic Mobile Networks , 2013, 2013 22nd International Conference on Computer Communication and Networks (ICCCN).

[43]  Cecilia Mascolo,et al.  Exploiting place features in link prediction on location-based social networks , 2011, KDD.

[44]  Sajal K. Das,et al.  Social-based routing scheme for fixed-line VANET , 2017, Comput. Networks.

[45]  Wu He,et al.  Internet of Things in Industries: A Survey , 2014, IEEE Transactions on Industrial Informatics.

[46]  Jörg Ott,et al.  Opportunistic content sharing applications , 2012, NoM '12.

[47]  Gerhard P. Fettweis,et al.  The Tactile Internet: Applications and Challenges , 2014, IEEE Vehicular Technology Magazine.

[48]  Thierry Turletti,et al.  A Survey of Software-Defined Networking: Past, Present, and Future of Programmable Networks , 2014, IEEE Communications Surveys & Tutorials.

[49]  Marco Conti,et al.  Design and evaluation of a cognitive approach for disseminating semantic knowledge and content in opportunistic networks , 2016, Comput. Commun..

[50]  Pasquale Pace,et al.  STEM-NET: How to deploy a self-organizing network of mobile end-user devices for emergency communication , 2015, Comput. Commun..

[51]  Antonella Molinaro,et al.  Information-centric networking for M2M communications: Design and deployment , 2016, Comput. Commun..

[52]  Sajal K. Das,et al.  Adaptive Data Fusion for Energy Efficient Routing in Wireless Sensor Networks , 2006, IEEE Transactions on Computers.

[53]  Wen-Huang Cheng,et al.  SocialCRC: Enabling socially-consensual rendezvous coordination by mobile phones , 2016, Pervasive Mob. Comput..

[54]  Ellen W. Zegura,et al.  Fast track article: From encounters to plausible mobility , 2011 .

[55]  Fabrice Theoleyre,et al.  Networking and communications for smart cities special issue editorial , 2015, Comput. Commun..

[56]  Claudio Bettini,et al.  Privacy protection in pervasive systems: State of the art and technical challenges , 2015, Pervasive Mob. Comput..

[57]  Lior Rokach,et al.  Mobile security and privacy: Advances, challenges and future research directions , 2016, Pervasive Mob. Comput..

[58]  J. Wenny Rahayu,et al.  Mobile cloud computing: A survey , 2013, Future Gener. Comput. Syst..

[59]  Vincent D. Blondel,et al.  A Place-Focused Model for Social Networks in Cities , 2013, 2013 International Conference on Social Computing.

[60]  Sajal K. Das,et al.  QnQ: A reputation model to secure mobile crowdsourcing applications from incentive losses , 2017, 2017 IEEE Conference on Communications and Network Security (CNS).

[61]  Jin Fan,et al.  An estimated method of urban concentration distribution for a mobile sensing system , 2016, Pervasive Mob. Comput..

[62]  Marco Conti,et al.  Crowdsourcing through Cognitive Opportunistic Networks , 2015, ACM Trans. Auton. Adapt. Syst..

[63]  Jordi Torres,et al.  Energy-efficient and multifaceted resource management for profit-driven virtualized data centers , 2012, Future Gener. Comput. Syst..

[64]  Marco Conti,et al.  Exploiting users' social relations to forward data in opportunistic networks: The HiBOp solution , 2008, Pervasive Mob. Comput..

[65]  Bhaskar Krishnamachari,et al.  A privacy mechanism for mobile-based urban traffic monitoring , 2015, Pervasive Mob. Comput..

[66]  Yi Yang,et al.  Achieving efficient and privacy-preserving multi-feature search for mobile sensing , 2015, Comput. Commun..

[67]  Evgeny M. Khorov,et al.  A survey on IEEE 802.11ah: An enabling networking technology for smart cities , 2015, Comput. Commun..

[68]  Alexander Afanasyev,et al.  On the role of routing in named data networking , 2014, ICN '14.

[69]  Daniele Puccinelli,et al.  Special issue on "Internet of Things: Research challenges and Solutions" , 2016, Comput. Commun..

[70]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[71]  Marco Conti,et al.  Optimal trade-off between accuracy and network cost of distributed learning in Mobile Edge Computing: An analytical approach , 2017, 2017 IEEE 18th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM).

[72]  Xueli An,et al.  Virtual Network Embedding for telco-grade network protection and service availability , 2016, Comput. Commun..

[73]  Marco Conti,et al.  A Cognitive-Based Ego Network Detection System for Mobile Social Networking , 2015, 2015 8th IFIP Wireless and Mobile Networking Conference (WMNC).

[74]  Thrasyvoulos Spyropoulos,et al.  Is it worth to be patient? Analysis and optimization of delayed mobile data offloading , 2014, IEEE INFOCOM 2014 - IEEE Conference on Computer Communications.

[75]  Marco Conti,et al.  Social Cognitive Heuristics for adaptive data dissemination in Opportunistic Networks , 2015, 2015 IEEE 16th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM).

[76]  Jon Crowcroft,et al.  The case for crowd computing , 2010, MobiHeld '10.

[77]  Marco Conti,et al.  Analysis of Individual Pair and Aggregate Intercontact Times in Heterogeneous Opportunistic Networks , 2013, IEEE Transactions on Mobile Computing.

[78]  Na Li,et al.  Preserving Relation Privacy in Online Social Network Data , 2011, IEEE Internet Computing.

[79]  Alberto Sangiovanni Vincentelli Let's get physical: Adding physical dimensions to cyber systems , 2015, ISLPED 2015.

[80]  Donald F. Towsley,et al.  Performance Modeling of Epidemic Routing , 2006, Networking.

[81]  Thrasyvoulos Spyropoulos,et al.  DTN-Meteo: Forecasting the Performance of DTN Protocols Under Heterogeneous Mobility , 2015, IEEE/ACM Transactions on Networking.

[82]  Sajal K. Das,et al.  Routing Correlated Data with Fusion Cost in Wireless Sensor Networks , 2006, IEEE Transactions on Mobile Computing.

[83]  Sajal K. Das,et al.  Reliability and Energy-Efficiency in IEEE 802.15.4/ZigBee Sensor Networks: An Adaptive and Cross-Layer Approach , 2011, IEEE Journal on Selected Areas in Communications.

[84]  Mikio Iwamura,et al.  NGMN Alliance (Next Generation Mobile Networks) , 2015 .

[85]  Parth H. Pathak,et al.  Visible Light Communication, Networking, and Sensing: A Survey, Potential and Challenges , 2015, IEEE Communications Surveys & Tutorials.

[86]  Colin Camerer,et al.  When Does "Economic Man" Dominate Social Behavior? , 2006, Science.

[87]  Marco Conti,et al.  Offloading Service Provisioning on Mobile Devices in Mobile Cloud Computing Environments , 2015, Euro-Par Workshops.

[88]  James Roberts,et al.  Flow-aware traffic control for a content-centric network , 2012, 2012 Proceedings IEEE INFOCOM.

[89]  Filip De Turck,et al.  Network Function Virtualization: State-of-the-Art and Research Challenges , 2015, IEEE Communications Surveys & Tutorials.

[90]  Sajal K. Das,et al.  A Trust-Based Framework for Fault-Tolerant Data Aggregation in Wireless Multimedia Sensor Networks , 2012, IEEE Transactions on Dependable and Secure Computing.

[91]  Marco Conti,et al.  Reliable Data Delivery With the IETF Routing Protocol for Low-Power and Lossy Networks , 2014, IEEE Transactions on Industrial Informatics.

[92]  Patrick Crowley,et al.  Named data networking , 2014, CCRV.

[93]  David E. Culler,et al.  IPv6 in Low-Power Wireless Networks , 2010, Proceedings of the IEEE.

[94]  Henri J. Nussbaumer,et al.  Computer Communication Systems, Data Circuits, Error Detection, Data Links , 1990 .

[95]  K. Psounis,et al.  Efficient Routing in Intermittently Connected Mobile Networks: The Single-Copy Case , 2008, IEEE/ACM Transactions on Networking.

[96]  Laura Ricci,et al.  The impact of user's availability on On-line Ego Networks: a Facebook analysis , 2016, Comput. Commun..

[97]  Antonio Fernández,et al.  Empirical comparison of power-efficient virtual machine assignment algorithms , 2016, Comput. Commun..

[98]  Anders Lindgren,et al.  Probabilistic Routing in Intermittently Connected Networks , 2004, SAPIR.

[99]  Gunnar Karlsson,et al.  Modeling opportunistic communication with churn , 2016, Comput. Commun..

[100]  Elena Pagani,et al.  Scalable data dissemination in opportunistic networks through cognitive methods , 2015, Pervasive Mob. Comput..

[101]  Luciana S. Buriol,et al.  A toolset for efficient privacy-oriented virtual network embedding and its instantiation on SDN/OpenFlow-based substrates , 2016, Comput. Commun..

[102]  Esteban Moro Egido,et al.  Time as a limited resource: Communication Strategy in Mobile Phone Networks , 2013, Soc. Networks.

[103]  Raffaele Bruno,et al.  Cellular traffic offloading via opportunistic networking with reinforcement learning , 2015, Comput. Commun..

[104]  Zbigniew Smoreda,et al.  Using big data to study the link between human mobility and socio-economic development , 2015, 2015 IEEE International Conference on Big Data (Big Data).

[105]  Yoshihide Sekimoto,et al.  Understanding tourist behavior using large-scale mobile sensing approach: A case study of mobile phone users in Japan , 2015, Pervasive Mob. Comput..

[106]  Laura Ricci,et al.  Trusted Dynamic Storage for Dunbar-Based P2P Online Social Networks , 2014, OTM Conferences.

[107]  Mohan Kumar,et al.  Opportunities in Opportunistic Computing , 2010, Computer.

[108]  Teruo Higashino,et al.  Edge-centric Computing: Vision and Challenges , 2015, CCRV.

[109]  JhaRakesh Kumar,et al.  Device-to-Device Communication in Cellular Networks , 2016 .

[110]  Raja Lavanya,et al.  Fog Computing and Its Role in the Internet of Things , 2019, Advances in Computer and Electrical Engineering.

[111]  Marco Conti,et al.  Online Social Networks and Media , 2017, Online Soc. Networks Media.

[112]  Gábor Erdélyi,et al.  Quantum cryptography: A survey , 2007, CSUR.

[113]  Sajal K. Das,et al.  A probabilistic link prediction model in time-varying social networks , 2017, 2017 IEEE International Conference on Communications (ICC).

[114]  Mohamed F. Younis,et al.  From MANET to people-centric networking: Milestones and open research challenges , 2015, Comput. Commun..

[115]  Dewar D Finlay Smart environments: technology to support healthcare. , 2009, Technology and health care : official journal of the European Society for Engineering and Medicine.

[116]  Heejo Lee,et al.  This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. INVITED PAPER Cyber–Physical Security of a Smart Grid Infrastructure , 2022 .

[117]  Marco Conti,et al.  Online Social Networks and Media , 2017 .

[118]  Jun Li,et al.  Congestion control in named data networking - A survey , 2016, Comput. Commun..

[119]  Bernhard Plattner,et al.  Using Software Defined Networking to enhance the delivery of Video-on-Demand , 2015, Comput. Commun..

[120]  Tassos Dimitriou,et al.  A platform for privacy protection of data requesters and data providers in mobile sensing , 2015, Comput. Commun..

[121]  Nikos Fotiou,et al.  A Survey of Information-Centric Networking Research , 2014, IEEE Communications Surveys & Tutorials.

[122]  A. Hafid,et al.  Optimal selection of aggregation locations for participatory sensing by mobile cyber-physical systems , 2016, Comput. Commun..

[123]  Gerd Gigerenzer,et al.  Good Judgments Do Not Require Complex Cognition , 2008 .

[124]  Sajal K. Das,et al.  HiPCV: History based learning model for predicting contact volume in Opportunistic Networks , 2015, 2015 IEEE 16th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM).

[125]  Antonio Iera,et al.  The Social Internet of Things (SIoT) - When social networks meet the Internet of Things: Concept, architecture and network characterization , 2012, Comput. Networks.

[126]  Nick McKeown,et al.  OpenFlow: enabling innovation in campus networks , 2008, CCRV.

[127]  Andrea Bianco,et al.  On the performanc of KVM-based virtual routers , 2015, Comput. Commun..

[128]  Yan Zhang,et al.  On Architecture Design, Congestion Notification, TCP Incast and Power Consumption in Data Centers , 2013, IEEE Communications Surveys & Tutorials.

[129]  Frank Englert,et al.  Averting the privacy risks of smart metering by local data preprocessing , 2015, Pervasive Mob. Comput..

[130]  Eleanor G. Rieffel,et al.  J an 2 00 0 An Introduction to Quantum Computing for Non-Physicists , 2002 .

[131]  Zhu Wang,et al.  Mobile Crowd Sensing and Computing , 2015, ACM Comput. Surv..

[132]  Wen Hu,et al.  Ear-Phone: A context-aware noise mapping using smart phones , 2013, Pervasive Mob. Comput..

[133]  Marco Conti,et al.  Multihop Ad Hoc Networking: The Evolutionary Path , 2013, Mobile Ad Hoc Networking.

[134]  Deborah Estrin,et al.  Participatory sensing: applications and architecture , 2010, MobiSys '10.

[135]  Robin I. M. Dunbar,et al.  Social network size in humans , 2003, Human nature.

[136]  Marco Conti,et al.  The structure of online social networks mirrors those in the offline world , 2015, Soc. Networks.

[137]  Marco Conti,et al.  Performance modelling of opportunistic forwarding under heterogenous mobility , 2014, Comput. Commun..

[138]  Marco Conti,et al.  Mobile edge clouds for Information-Centric IoT services , 2016, 2016 IEEE Symposium on Computers and Communication (ISCC).

[139]  Merkourios Karaliopoulos,et al.  User recruitment for mobile crowdsensing over opportunistic networks , 2015, 2015 IEEE Conference on Computer Communications (INFOCOM).

[140]  Berk Canberk,et al.  Self-Organized Things (SoT): An energy efficient next generation network management , 2016, Comput. Commun..

[141]  Thrasyvoulos Spyropoulos,et al.  Collection and analysis of multi-dimensional network data for opportunistic networking research , 2012, Comput. Commun..

[142]  Sajal K. Das,et al.  Data Collection in Wireless Sensor Networks with Mobile Elements: A Survey , 2011, TOSN.

[143]  Mung Chiang,et al.  A Survey of Client-Controlled HetNets for 5G , 2017, IEEE Access.

[144]  Marco Conti,et al.  Human mobility models for opportunistic networks , 2011, IEEE Communications Magazine.

[145]  Barbara M. Masini,et al.  Visible light communications as a complementary technology for the internet of vehicles , 2016, Comput. Commun..

[146]  S. Sloman Causal Models: How People Think about the World and Its Alternatives , 2005 .

[147]  Mohan Kumar,et al.  PCV: Predicting contact volume for reliable and efficient data transfers in opportunistic networks , 2013, 38th Annual IEEE Conference on Local Computer Networks.

[148]  Injong Rhee,et al.  SLAW: Self-Similar Least-Action Human Walk , 2012, IEEE/ACM Transactions on Networking.

[149]  G Gigerenzer,et al.  Reasoning the fast and frugal way: models of bounded rationality. , 1996, Psychological review.

[150]  Franco Zambonelli,et al.  Looking ahead in pervasive computing: Challenges and opportunities in the era of cyber-physical convergence , 2012, Pervasive Mob. Comput..

[151]  Ian F. Akyildiz,et al.  A survey on wireless sensor networks for smart grid , 2015, Comput. Commun..

[152]  Marimuthu Palaniswami,et al.  An Information Framework for Creating a Smart City Through Internet of Things , 2014, IEEE Internet of Things Journal.

[153]  Feng Xia,et al.  Overhead Control With Reliable Transmission of Popular Packets in Ad-Hoc Social Networks , 2016, IEEE Transactions on Vehicular Technology.

[154]  Pin Lv,et al.  Control plane of software defined networks: A survey , 2015, Comput. Commun..

[155]  P. Todd,et al.  Simple Heuristics That Make Us Smart , 1999 .

[156]  Daniele Puccinelli,et al.  Reducing your local footprint with anyrun computing , 2016, Comput. Commun..

[157]  Prashant Krishnamurthy,et al.  Socio-spatial affiliation networks , 2016, Comput. Commun..

[158]  Zhiyang Su,et al.  Rethinking the Data Center Networking: Architecture, Network Protocols, and Resource Sharing , 2014, IEEE Access.

[159]  Daniele Puccinelli,et al.  When sensing goes pervasive , 2015, Pervasive Mob. Comput..

[160]  José M. F. Moura,et al.  Modeling of Future Cyber–Physical Energy Systems for Distributed Sensing and Control , 2010, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[161]  George Parisis,et al.  Designing and realizing an information-centric internet , 2012, IEEE Communications Magazine.

[162]  Sajal K. Das,et al.  Adaptive and context-aware privacy preservation exploiting user interactions in smart environments , 2014, Pervasive Mob. Comput..

[163]  Timothy A. Thomas,et al.  LTE-advanced: next-generation wireless broadband technology [Invited Paper] , 2010, IEEE Wireless Communications.

[164]  U. Fischbacher,et al.  Why Social Preferences Matter - the Impact of Non-Selfish Motives on Competition, Cooperation and Incentives , 2002 .

[165]  Sajal K. Das,et al.  Incentive Mechanisms for Participatory Sensing , 2015, ACM Trans. Sens. Networks.

[166]  Gian Paolo Rossi,et al.  Urban communications and social interactions through the lens of mobile phone data , 2017, Online Soc. Networks Media.

[167]  H. T. Mouftah,et al.  Energy-Efficient Information and Communication Infrastructures in the Smart Grid: A Survey on Interactions and Open Issues , 2015, IEEE Communications Surveys & Tutorials.

[168]  Christophe Diot,et al.  Impact of Human Mobility on Opportunistic Forwarding Algorithms , 2007, IEEE Transactions on Mobile Computing.

[169]  Gerd Gigerenzer,et al.  Models of ecological rationality: the recognition heuristic. , 2002, Psychological review.

[170]  Paul Baran,et al.  On Distributed Communications: I. Introduction to Distributed Communications Networks , 1964 .

[171]  Giuseppe Anastasi,et al.  IEEE 802.15.4e: A survey , 2016, Comput. Commun..

[172]  Hwee Pink Tan,et al.  Incentive Mechanism Design for Crowdsourcing , 2016, ACM Trans. Intell. Syst. Technol..

[173]  Christian Berger,et al.  Autonomous Driving-5 Years after the Urban Challenge: The Anticipatory Vehicle as a Cyber-Physical System , 2014, GI-Jahrestagung.

[174]  Marco Fiore,et al.  Special Issue on Mobile Traffic Analytics , 2016, Comput. Commun..

[175]  Sajal K. Das,et al.  An integrated cloud-based framework for mobile phone sensing , 2012, MCC '12.

[176]  Mani Srivastava,et al.  Human-centric sensing , 2012, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[177]  Khaled A. Harras,et al.  Femto Clouds: Leveraging Mobile Devices to Provide Cloud Service at the Edge , 2015, 2015 IEEE 8th International Conference on Cloud Computing.

[178]  Georg Carle,et al.  TinyIPFIX: An efficient application protocol for data exchange in cyber physical systems , 2016, Comput. Commun..

[179]  Marco Conti,et al.  CAMEO: A novel context-aware middleware for opportunistic mobile social networks , 2014, Pervasive Mob. Comput..

[180]  Mark S. Granovetter The Strength of Weak Ties , 1973, American Journal of Sociology.

[181]  Ryan Newton,et al.  The pothole patrol: using a mobile sensor network for road surface monitoring , 2008, MobiSys '08.

[182]  Marco Conti,et al.  Data Offloading Techniques in Cellular Networks: A Survey , 2015, IEEE Communications Surveys & Tutorials.

[183]  Sebastian VanSyckel,et al.  A survey on engineering approaches for self-adaptive systems , 2015, Pervasive Mob. Comput..

[184]  Eleonora Borgia,et al.  The Internet of Things vision: Key features, applications and open issues , 2014, Comput. Commun..

[185]  Xu-Dong Zhang,et al.  Learning to Rank from Noisy Data , 2015, ACM Trans. Intell. Syst. Technol..

[186]  Mirco Musolesi,et al.  Urban sensing systems: opportunistic or participatory? , 2008, HotMobile '08.

[187]  Fausto Giunchiglia,et al.  Programming the social computer , 2013, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[188]  Guoqiang Zhang,et al.  Caching in information centric networking: A survey , 2013, Comput. Networks.

[189]  Damla Turgut,et al.  Special issue: Current and future architectures, protocols, and services for the Internet of Things , 2016, Comput. Commun..

[190]  Chalermpol Charnsripinyo,et al.  Guaranteed capacity bounds in intermittently-connected networks: A resource-aware, holistic evaluation , 2015, Comput. Commun..

[191]  Thrasyvoulos Spyropoulos,et al.  Opportunistic Routing , 2013, Mobile Ad Hoc Networking.

[192]  Jeffrey G. Andrews,et al.  Are we approaching the fundamental limits of wireless network densification? , 2015, IEEE Communications Magazine.

[193]  Diego Dujovne,et al.  6TiSCH: deterministic IP-enabled industrial internet (of things) , 2014, IEEE Communications Magazine.

[194]  Sajal K. Das,et al.  ConSub: Incentive-Based Content Subscribing in Selfish Opportunistic Mobile Networks , 2013, IEEE Journal on Selected Areas in Communications.

[195]  Hwee Pink Tan,et al.  Incentive Mechanism Design for Heterogeneous Crowdsourcing Using All-Pay Contests , 2016, IEEE Transactions on Mobile Computing.

[196]  Marco Conti,et al.  A Semantic-Based Algorithm for Data Dissemination in Opportunistic Networks , 2013, IWSOS.

[197]  Robin I. M. Dunbar,et al.  Communication in social networks: Effects of kinship, network size, and emotional closeness , 2011 .

[199]  Xuemin Shen,et al.  SACRM: Social Aware Crowdsourcing with Reputation Management in mobile sensing , 2014, Comput. Commun..

[200]  Domenico Talia,et al.  Mining human mobility patterns from social geo-tagged data , 2016, Pervasive Mob. Comput..

[201]  Huadong Ma,et al.  Opportunities in mobile crowd sensing , 2014, IEEE Communications Magazine.

[202]  Scott Shenker,et al.  A data-oriented (and beyond) network architecture , 2007, SIGCOMM 2007.

[203]  Fan Wu,et al.  Sustainable Incentives for Mobile Crowdsensing: Auctions, Lotteries, and Trust and Reputation Systems , 2017, IEEE Communications Magazine.

[204]  Jeffrey G. Andrews,et al.  An Overview on 3GPP Device-to-Device Proximity Services , 2013, 1310.0116.

[205]  Yue Liu,et al.  Performance and Energy Consumption Analysis of a Delay-Tolerant Network for Censorship-Resistant Communication , 2015, MobiHoc.

[206]  Sajal K. Das,et al.  Distributed Algorithm for En Route Aggregation Decision in Wireless Sensor Networks , 2009, IEEE Transactions on Mobile Computing.

[207]  Imrich Chlamtac,et al.  Internet of things: Vision, applications and research challenges , 2012, Ad Hoc Networks.

[208]  Jörg Ott,et al.  Shared content editing in opportunistic networks , 2014, CHANTS '14.

[209]  Andrea Passarella,et al.  HCMM: Modelling spatial and temporal properties of human mobility driven by users' social relationships , 2010, Comput. Commun..

[210]  Chunjie Zhou,et al.  Predicting the passenger demand on bus services for mobile users , 2016, Pervasive Mob. Comput..

[211]  Domenico De Guglielmo,et al.  IEEE 802 . 15 . 4 e : a Survey , 2016 .

[212]  Paramvir Bahl,et al.  The Case for VM-Based Cloudlets in Mobile Computing , 2009, IEEE Pervasive Computing.

[213]  Diane J. Cook,et al.  How smart are our environments? An updated look at the state of the art , 2007, Pervasive Mob. Comput..

[214]  Theodore S. Rappaport,et al.  Millimeter-Wave Cellular Wireless Networks: Potentials and Challenges , 2014, Proceedings of the IEEE.

[215]  André Brinkmann,et al.  Smart Grid-aware scheduling in data centres , 2016, Comput. Commun..

[216]  Jure Leskovec,et al.  Friendship and mobility: user movement in location-based social networks , 2011, KDD.

[217]  Thierry Paul,et al.  Quantum computation and quantum information , 2007, Mathematical Structures in Computer Science.

[218]  Qing Wang,et al.  A Survey on Device-to-Device Communication in Cellular Networks , 2013, IEEE Communications Surveys & Tutorials.

[219]  Marco Fiore,et al.  Mobility and connectivity in highway vehicular networks: A case study in Madrid , 2016, Comput. Commun..

[220]  Antonio Manzalini,et al.  An edge operating system enabling anything-as -a-service , 2016, IEEE Communications Magazine.

[221]  Mads Haahr,et al.  Social Network Analysis for Information Flow in Disconnected Delay-Tolerant MANETs , 2009, IEEE Transactions on Mobile Computing.

[222]  Damien Magoni,et al.  NEmu: A distributed testbed for the virtualization of dynamic, fixed and mobile networks , 2016, Comput. Commun..

[223]  Robin I. M. Dunbar Coevolution of neocortical size, group size and language in humans , 1993, Behavioral and Brain Sciences.

[224]  Marco Conti,et al.  Optimal duty cycling in mobile opportunistic networks with end-to-end delay guarantees , 2014 .

[225]  Jens F. Binder,et al.  Relationships and the social brain: integrating psychological and evolutionary perspectives. , 2012, British journal of psychology.

[226]  Mohamed Cheriet,et al.  OpenFlow-based in-network Layer-2 adaptive multipath aggregation in data centers , 2015, Comput. Commun..

[227]  Guido Caldarelli,et al.  Scale-Free Networks , 2007 .

[228]  Insup Lee,et al.  Cyber-physical systems: The next computing revolution , 2010, Design Automation Conference.

[229]  Marco Conti,et al.  The role of communication systems in smart grids: Architectures, technical solutions and research challenges , 2013, Comput. Commun..

[230]  Ahmed Helmy,et al.  Modeling Spatial and Temporal Dependencies of User Mobility in Wireless Mobile Networks , 2008, IEEE/ACM Transactions on Networking.

[231]  Ellen W. Zegura,et al.  Computing in cirrus clouds: the challenge of intermittent connectivity , 2012, MCC '12.

[232]  Marco Conti,et al.  Opportunistic networking: data forwarding in disconnected mobile ad hoc networks , 2006, IEEE Communications Magazine.

[233]  Marco Conti,et al.  Design and Performance Evaluation of Data Dissemination Systems for Opportunistic Networks Based on Cognitive Heuristics , 2013, TAAS.

[234]  Josep Domingo-Ferrer,et al.  Discrimination- and privacy-aware patterns , 2014, Data Mining and Knowledge Discovery.

[235]  Victor C. M. Leung,et al.  Vita: A Crowdsensing-Oriented Mobile Cyber-Physical System , 2013, IEEE Transactions on Emerging Topics in Computing.

[236]  Emiliano Miluzzo,et al.  People-centric urban sensing , 2006, WICON '06.

[237]  José Ignacio Alvarez-Hamelin,et al.  On the regularity of human mobility , 2016, Pervasive Mob. Comput..

[238]  Arkady B. Zaslavsky,et al.  Context Aware Computing for The Internet of Things: A Survey , 2013, IEEE Communications Surveys & Tutorials.

[239]  RAFFAELE BRUNO,et al.  Bluetooth: Architecture, Protocols and Scheduling Algorithms , 2004, Cluster Computing.

[240]  Mahbub Hassan,et al.  Efficient and Transparent Use of personal device storage in opportunistic data forwarding , 2016, Comput. Commun..

[241]  Marco Conti,et al.  Online Social Networks: Human Cognitive Constraints in Facebook and Twitter Personal Graphs , 2015 .

[242]  Jeffrey G. Andrews,et al.  Femtocells: Past, Present, and Future , 2012, IEEE Journal on Selected Areas in Communications.

[243]  Navrati Saxena,et al.  Next Generation 5G Wireless Networks: A Comprehensive Survey , 2016, IEEE Communications Surveys & Tutorials.

[244]  Xiaolong Hu,et al.  Autonomous Driving in the iCity—HD Maps as a Key Challenge of the Automotive Industry , 2016 .

[245]  Marco Conti,et al.  RPL routing protocol in advanced metering infrastructures: An analysis of the unreliability problems , 2012, 2012 Sustainable Internet and ICT for Sustainability (SustainIT).

[246]  Lael J. Schooler,et al.  From recognition to decisions: Extending and testing recognition-based models for multialternative inference , 2010, Psychonomic bulletin & review.

[247]  Daniele Quercia,et al.  Online Social Networks , 2016, Comput. Commun..

[248]  Zbigniew Dziong,et al.  A novel cluster based resource sharing model for femtocell networks , 2016, Comput. Commun..

[249]  Sajal K. Das,et al.  A novel localization and coverage framework for real-time participatory urban monitoring , 2015, Pervasive Mob. Comput..

[250]  H. Gintis,et al.  Human Motivation and Social Cooperation: Experimental and Analytical , 2007 .

[251]  Albert,et al.  Emergence of scaling in random networks , 1999, Science.

[252]  Christopher Thraves,et al.  Power-efficient assignment of virtual machines to physical machines , 2013, Future Gener. Comput. Syst..

[253]  Antonio Iera,et al.  The Internet of Things: A survey , 2010, Comput. Networks.

[254]  Bo Qin,et al.  Towards cost-effective and low latency data center network architecture , 2016, Comput. Commun..

[255]  Elena Pagani,et al.  Strangers help friends to communicate in opportunistic networks , 2011, Comput. Networks.

[256]  Feng Xia,et al.  PIS: A Multi-Dimensional Routing Protocol for Socially-Aware Networking , 2016, IEEE Transactions on Mobile Computing.

[257]  Lei Xie,et al.  Joint storage assignment for D2D offloading systems , 2016, Comput. Commun..

[258]  Cécile Favre,et al.  Information diffusion in online social networks: a survey , 2013, SGMD.

[259]  Amin Vahdat,et al.  Epidemic Routing for Partially-Connected Ad Hoc Networks , 2009 .

[260]  Deborah Estrin,et al.  Internet Predictions , 2010, IEEE Internet Comput..

[261]  Sajal K. Das,et al.  A trust-based framework for data forwarding in opportunistic networks , 2013, Ad Hoc Networks.

[262]  Serge Fdida,et al.  Research challenges towards the Future Internet , 2011, Comput. Commun..

[263]  Antonio Puliafito,et al.  A utility paradigm for IoT: The sensing Cloud , 2015, Pervasive Mob. Comput..

[264]  Marco Conti,et al.  An analytical model for content dissemination in opportunistic networks using cognitive heuristics , 2012, MSWiM '12.

[265]  Sajal K. Das,et al.  Graph compaction in analyzing large scale online social networks , 2017, 2017 IEEE International Conference on Communications (ICC).

[266]  Marco Conti,et al.  Hypothesis Transfer Learning for Efficient Data Computing in Smart Cities Environments , 2016, 2016 IEEE International Conference on Smart Computing (SMARTCOMP).

[267]  H I Smith AMERICAN ASSOCIATION FOR THE ADVANCEMENT OF SCIENCE: ANTHROPOLOGY. , 1902, Science.

[268]  Robin I. M. Dunbar CO-EVOLUTION OF NEOCORTEX SIZE , GROUP SIZE AND LANGUAGE IN HUMANS , 2008 .

[269]  Engin Zeydan,et al.  Mobility management: Deployment and adaptability aspects through mobile data traffic analysis , 2016, Comput. Commun..

[270]  Anna Monreale,et al.  A Privacy Risk Model for Trajectory Data , 2014, IFIPTM.

[271]  Christian F. Tschudin,et al.  An information centric network for computing the distribution of computations , 2014, ICN '14.

[272]  Sajal K. Das,et al.  Entropy-Based Privacy against Profiling of User Mobility , 2015, Entropy.

[273]  Stefano Basagni,et al.  Mobile Ad Hoc Networking , 2010 .

[274]  Xing Xie,et al.  Urban computing with taxicabs , 2011, UbiComp '11.

[275]  Denzil Ferreira,et al.  Cyclist-aware traffic lights through distributed smartphone sensing , 2016, Pervasive Mob. Comput..

[276]  Dino Pedreschi,et al.  Human mobility, social ties, and link prediction , 2011, KDD.

[277]  Xia Zhang,et al.  Probabilistic inference-based service level objective-sensitive virtual network reconfiguration , 2015, Comput. Commun..

[278]  T. Spyropoulos,et al.  Efficient Routing in Intermittently Connected Mobile Networks: The Multiple-Copy Case , 2008, IEEE/ACM Transactions on Networking.

[279]  Sajal K. Das,et al.  Using Data Mules to Preserve Source Location Privacy in Wireless Sensor Networks , 2012, ICDCN.

[280]  Yingshu Li,et al.  Social-aware data dissemination service in mobile social network with controlled overhead , 2016, Pervasive Mob. Comput..

[281]  Sajal K. Das,et al.  Mobile social networking middleware: A survey , 2013, Pervasive Mob. Comput..

[282]  Chen Qian,et al.  Providing explicit congestion control and multi-homing support for content-centric networking transport , 2015, Comput. Commun..

[283]  Marcelo Dias de Amorim,et al.  A joint multicast/D2D learning-based approach to LTE traffic offloading , 2015, Comput. Commun..

[284]  Daniel Gatica-Perez,et al.  A probabilistic kernel method for human mobility prediction with smartphones , 2015, Pervasive Mob. Comput..

[285]  Christos G. Cassandras,et al.  Smart Cities as Cyber-Physical Social Systems , 2016 .