A review of data sets of short-range wireless networks
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[1] Qi Han,et al. Context-Aware Community Construction in Proximity-Based Mobile Networks , 2015, Mob. Inf. Syst..
[2] Suvadip Batabyal,et al. Mobility Models, Traces and Impact of Mobility on Opportunistic Routing Algorithms: A Survey , 2015, IEEE Communications Surveys & Tutorials.
[3] Khaled A. Harras,et al. Adaptive forwarding of mHealth data in challenged networks , 2017, 2017 IEEE 19th International Conference on e-Health Networking, Applications and Services (Healthcom).
[4] Ciprian Dobre,et al. Social Aspects for Opportunistic Communication , 2012, 2012 11th International Symposium on Parallel and Distributed Computing.
[5] Yonggang Wen,et al. Toward Scalable Systems for Big Data Analytics: A Technology Tutorial , 2014, IEEE Access.
[6] Hyun-Woo Lee,et al. A computational model to evaluate honesty in social internet of things , 2017, SAC.
[7] Pan Hui,et al. FlopCoin: A Cryptocurrency for Computation Offloading , 2018, IEEE Transactions on Mobile Computing.
[8] Peng Li,et al. User social activity-based routing for cognitive radio networks , 2018, Personal and Ubiquitous Computing.
[9] Yuebin Bai,et al. SAME: A students' daily activity mobility model for campus delay-tolerant networks , 2012, 2012 18th Asia-Pacific Conference on Communications (APCC).
[10] Djamal Zeghlache,et al. Trust management system design for the Internet of Things: A context-aware and multi-service approach , 2013, Comput. Secur..
[11] Mei Song,et al. A Locality-Based Mobile Caching Policy for D2D-Based Content Sharing Network , 2016, 2016 IEEE Global Communications Conference (GLOBECOM).
[12] Jie Wu,et al. Geocommunity-Based Broadcasting for Data Dissemination in Mobile Social Networks , 2012 .
[13] Wenye Wang,et al. Modeling and estimating the structure of D2D-based mobile social networks , 2016, 2016 IEEE International Conference on Communications (ICC).
[14] Ciprian Dobre,et al. Predicting Encounters in Opportunistic Networks Using Gaussian Process , 2013, 2013 19th International Conference on Control Systems and Computer Science.
[15] Jun Huang,et al. DTN-Knca: A High Throughput Routing Based on Contact Pattern Detection in DTNs , 2018, 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC).
[16] Xin Wang,et al. Secure Routing Based on Social Similarity in Opportunistic Networks , 2016, IEEE Transactions on Wireless Communications.
[17] Rajesh Krishnan,et al. An Overview of Opportunistic Routing in Mobile Ad Hoc Networks , 2013, MILCOM 2013 - 2013 IEEE Military Communications Conference.
[18] Ajay Vikram Singh,et al. Trust based Intelligent Routing Algorithm for Delay Tolerant Network using Artificial Neural Network , 2016, Wireless Networks.
[19] Pietro Manzoni,et al. Adaptive Real-Time Predictive Collaborative Content Discovery and Retrieval in Mobile Disconnection Prone Networks , 2018, IEEE Access.
[20] Jörg Ott,et al. Working day movement model , 2008, MobilityModels '08.
[21] Qiang Zhu,et al. Analyzing and modeling heterogeneous behavior , 2016 .
[22] Kun Yang,et al. An enhanced community-based mobility model for distributed mobile social networks , 2012, Journal of Ambient Intelligence and Humanized Computing.
[23] Emmanuel Lochin,et al. Following the right path: Using traces for the study of DTNs , 2016, Comput. Commun..
[24] Ahmed Helmy,et al. Structural Analysis of User Association Patterns in University Campus Wireless LANs , 2012, IEEE Transactions on Mobile Computing.
[25] Serge Fdida,et al. SIMPS: Using Sociology for Personal Mobility , 2006, IEEE/ACM Transactions on Networking.
[26] Jianwu Wang,et al. A Scalable Data Science Workflow Approach for Big Data Bayesian Network Learning , 2014, 2014 IEEE/ACM International Symposium on Big Data Computing.
[27] Hongyi Wu,et al. Bargain-based Stimulation Mechanism for Selfish Mobile Nodes in Participatory Sensing Network , 2009, 2009 6th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks.
[28] Julinda Stefa,et al. SWIM: A Simple Model to Generate Small Mobile Worlds , 2008, IEEE INFOCOM 2009.
[29] Cecilia Mascolo,et al. Designing mobility models based on social network theory , 2007, MOCO.
[30] Ignas G. Niemegeers,et al. Predicting mobility events on personal devices , 2010, Pervasive Mob. Comput..
[31] Jia Guo,et al. Trust Management for SOA-Based IoT and Its Application to Service Composition , 2016, IEEE Transactions on Services Computing.
[32] Ciprian Dobre,et al. SENSE: A collaborative selfish node detection and incentive mechanism for opportunistic networks , 2014, J. Netw. Comput. Appl..
[33] Nitin Pandey,et al. Opportunistic message forwarding in self organized cluster based DTN , 2017, INFOCOM 2017.
[34] Karim Djemame,et al. Analysis of human mobility patterns for opportunistic forwarding in shopping mall environments , 2015, Social Network Analysis and Mining.
[35] Feng Zeng,et al. Effective Social Relationship Measurement and Cluster Based Routing in Mobile Opportunistic Networks † , 2017, Sensors.
[36] Khaled A. Harras,et al. On the shortcoming of DTN solutions in rural mHealth applications , 2017, 2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC).
[37] Guiran Chang,et al. TRM-IoT: A trust management model based on fuzzy reputation for internet of things , 2011, Comput. Sci. Inf. Syst..
[38] Jalel Ben-Othman,et al. CGAM: A community and geography aware mobility model , 2018, Int. J. Commun. Syst..
[39] Duncan J. Watts,et al. Characterizing individual communication patterns , 2009, KDD.
[40] Le Chang,et al. Reducing the Overhead of Multicast Using Social Features in Mobile Opportunistic Networks , 2019, IEEE Access.
[41] Qi Shi,et al. Machine Learning Based Trust Computational Model for IoT Services , 2019, IEEE Transactions on Sustainable Computing.
[42] Amjad Rehman,et al. Data offloading in IoT environments: modeling, analysis, and verification , 2019, EURASIP J. Wirel. Commun. Netw..
[43] Matteo Zignani. Geo-CoMM: A geo-community based mobility model , 2012, 2012 9th Annual Conference on Wireless On-Demand Network Systems and Services (WONS).
[44] Takahiro Hara,et al. Multi-model Z-compression for high speed data streaming and low-power wireless sensor networks , 2019, Distributed and Parallel Databases.
[45] Qingzhong Liang,et al. Encounter Probability Aware Task Assignment in Mobile Crowdsensing , 2017, Mob. Networks Appl..
[46] Thrasyvoulos Spyropoulos,et al. Modelling and Analysis of Communication Traffic Heterogeneity in Opportunistic Networks , 2015, IEEE Transactions on Mobile Computing.
[47] Andrea G. Ribeiro. Modeling the impact of human spontaneity in mobile trajectories , 2013, 2013 IEEE 9th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob).
[48] Shashikala Tapaswi,et al. Mobility prediction in mobile ad hoc networks using a lightweight genetic algorithm , 2016, Wirel. Networks.
[49] M. L. Valarmathi,et al. Trust Management in the Social Internet of Things , 2017, Wireless Personal Communications.
[50] Amin Vahdat,et al. Epidemic Routing for Partially-Connected Ad Hoc Networks , 2009 .
[51] Milena Radenkovic,et al. Practical MANETs for Pervasive Cattle Monitoring , 2008, Seventh International Conference on Networking (icn 2008).
[52] Yan Shi,et al. Exploiting Social Relationship for Opportunistic Routing in Mobile Social Networks , 2015, IEICE Trans. Commun..
[53] Annalisa Socievole,et al. Opportunistic mobile social networks: From mobility and Facebook friendships to structural analysis of user social behavior , 2016, Comput. Commun..
[54] Tracy Camp,et al. SMOOTH: a simple way to model human mobility , 2011, MSWiM '11.
[55] Xu Chen,et al. Socially Motivated Data Caching in Ultra-Dense Small Cell Networks , 2017, IEEE Network.
[56] Weihua Zhuang,et al. Software Defined Networking Enabled Wireless Network Virtualization: Challenges and Solutions , 2017, IEEE Network.
[57] Anders Lindgren,et al. Probabilistic Routing in Intermittently Connected Networks , 2004, SAPIR.
[58] Yujin Lim,et al. A Markov-Based Prediction Algorithm for User Mobility at Heterogeneous Cloud Radio Access Network , 2019, 2019 IEEE International Conference on Big Data and Smart Computing (BigComp).
[59] Klara Nahrstedt,et al. Jyotish: A novel framework for constructing predictive model of people movement from joint Wifi/Bluetooth trace , 2011, 2011 IEEE International Conference on Pervasive Computing and Communications (PerCom).
[60] Xiulong Wu,et al. Analyzing and modeling mobility for infrastructure-less communication , 2015, J. Netw. Comput. Appl..
[61] Yuchen Zhao,et al. A robust reputation-based location-privacy recommender system using opportunistic networks , 2016, MobiCASE.
[62] Sanjay Kumar Madria,et al. Secure Information Forwarding through Fragmentation in Delay-Tolerant Networks , 2018, 2018 IEEE 37th Symposium on Reliable Distributed Systems (SRDS).
[63] Jörg Ott,et al. The ONE simulator for DTN protocol evaluation , 2009, SIMUTools 2009.
[64] Gürkan Solmaz,et al. Modeling pedestrian mobility in disaster areas , 2017, Pervasive Mob. Comput..
[65] Xiaoshuang Xing,et al. Relay selection based on social relationship prediction and information leakage reduction for mobile social networks , 2018, Math. Found. Comput..
[66] Aline Carneiro Viana,et al. A Message Removal Mechanism for Delay Tolerant Networks , 2016, UNet.
[67] Annalisa Socievole,et al. Routing in Mobile Opportunistic Social Networks with Selfish Nodes , 2019, Wirel. Commun. Mob. Comput..
[68] Lei Xu,et al. A link prediction approach based on deep learning for opportunistic sensor network , 2017, Int. J. Distributed Sens. Networks.
[69] Shahram Babaie,et al. Selfish node detection in ad hoc networks based on fuzzy logic , 2019, Neural Computing and Applications.
[70] Michel Diaz,et al. STEPS - An Approach for Human Mobility Modeling , 2011, Networking.
[71] Subrat Kar,et al. Utilizing Social Networks Data for Trust Management in a Social Internet of Things Network , 2018, MobiCom.
[72] Paolo Santi,et al. The Node Distribution of the Random Waypoint Mobility Model for Wireless Ad Hoc Networks , 2003, IEEE Trans. Mob. Comput..
[73] Liang Dong,et al. Clarifying Trust in Social Internet of Things , 2017, IEEE Trans. Knowl. Data Eng..
[74] Haitao Yu,et al. A Secure Credit-Based Incentive Scheme for Opportunistic Networks , 2015, 2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics.
[75] Honggang Wang,et al. Socially aware D2D cooperative communications for enhancing Internet of Things application , 2018, EURASIP J. Wirel. Commun. Netw..
[76] Damla Turgut,et al. Opportunistic Message Broadcasting in Campus Environments , 2014, GLOBECOM 2014.
[77] Farrukh Salim Shaikh,et al. Routing in Multi-Hop Cellular Device-to-Device (D2D) Networks: A Survey , 2018, IEEE Communications Surveys & Tutorials.
[78] Sajal K. Das,et al. Multi-periodic contact patterns in predicting future contacts over mobile networks , 2017, 2017 IEEE 18th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM).
[79] Lin Wang,et al. Characterizing pairwise contact patterns in human contact networks , 2012, Ad Hoc Networks.
[80] Ioannis Anagnostopoulos,et al. A Covering Classification Rule Induction Approach for Big Datasets , 2014, 2014 IEEE/ACM International Symposium on Big Data Computing.
[81] Stephan Winter,et al. Random encounters in probabilistic time geography , 2018, Int. J. Geogr. Inf. Sci..
[82] Greg Bigwood,et al. IRONMAN: Using Social Networks to Add Incentives and Reputation to Opportunistic Networks , 2011, 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing.
[83] Feng Xia,et al. Human mobility in opportunistic networks: Characteristics, models and prediction methods , 2014, J. Netw. Comput. Appl..
[84] Ciprian Dobre,et al. Exploring Predictability in Mobile Interaction , 2012, 2012 Third International Conference on Emerging Intelligent Data and Web Technologies.