Ubiquitous information service networks and technology based on the convergence of communications, computing and control

The rapid development of the IoT (Internet of Things) is bringing about a functional change of communication networks from “information transmission” to “information service”. First, the conception and characteristics of the IoT are introduced, i.e., an Internet of humans, machines, and things meant to achieve smart information services. Then, the technology requirements for realizing ubiquitous and smart information services are described. The corresponding key technologies are also discussed, including the integration of communications, computing and control technology (3C), heterogeneous network fusion theory and technology, intelligent sensor technology and short-distance networking theory, large-scale network transmission theory and technology, the network virtualization and intelligent computing technology geared toward information service, and the collaborative network system and service model geared to the application of the IoT. Finally, the development trends of information technologies and information networks in the next five to ten years are analyzed, and give some suggestions for main research areas to be explored and key issues to be resolved.

[1]  Geng Wu,et al.  M2M: From mobile to embedded internet , 2011, IEEE Communications Magazine.

[2]  Changjie Tang,et al.  Optimal Multiple Sink Nodes Deployment in Wireless Sensor Networks Based on Gene Expression Programming , 2010, 2010 Second International Conference on Communication Software and Networks.

[3]  Athanasios V. Vasilakos,et al.  A Survey on Service-Oriented Network Virtualization Toward Convergence of Networking and Cloud Computing , 2012, IEEE Transactions on Network and Service Management.

[4]  Liangzhong Ruan,et al.  CSI Feedback Reduction for MIMO Interference Alignment , 2013, IEEE Transactions on Signal Processing.

[5]  Vera Stavroulaki,et al.  Cognitive Management for the Internet of Things: A Framework for Enabling Autonomous Applications , 2013, IEEE Vehicular Technology Magazine.

[6]  S. Venkatesan,et al.  Energy efficient sensor, relay and base station placements for coverage, connectivity and routing , 2005, PCCC 2005. 24th IEEE International Performance, Computing, and Communications Conference, 2005..

[7]  Jeffrey G. Andrews,et al.  Seven ways that HetNets are a cellular paradigm shift , 2013, IEEE Communications Magazine.

[8]  Victor C. M. Leung,et al.  Automated network selection in a heterogeneous wireless network environment , 2007, IEEE Network.

[9]  Zhang Ping,et al.  Vertical Handover Decision in an Enhanced Media Independent Handover Framework , 2008, 2008 IEEE Wireless Communications and Networking Conference.

[10]  Oriol Sallent,et al.  Interworking in heterogeneous wireless networks: Comprehensive framework and future trends , 2010, IEEE Wireless Communications.

[11]  Yuan Yifei,et al.  Application scenarios and enabling technologies of 5G , 2014, China Communications.

[12]  Qihui Wu,et al.  Cognitive Internet of Things: A New Paradigm Beyond Connection , 2014, IEEE Internet of Things Journal.

[13]  Luca Mainetti,et al.  A Software Architecture Enabling the Web of Things , 2015, IEEE Internet of Things Journal.

[14]  Hongbo Zhu,et al.  Optimal harvest-use-store policy for energy-harvesting wireless systems in frequency-selective fading channels , 2015, EURASIP J. Wirel. Commun. Netw..

[15]  Abbas Jamalipour,et al.  Interworking of WLAN-UMTS networks: an IMS-based platform for session mobility , 2008, IEEE Communications Magazine.

[16]  Xiaohu You,et al.  QoS-Aware Load Balancing in 3GPP Long Term Evolution Multi-Cell Networks , 2011, 2011 IEEE International Conference on Communications (ICC).

[17]  Jeffrey G. Andrews,et al.  Offloading in Heterogeneous Networks: Modeling, Analysis, and Design Insights , 2012, IEEE Transactions on Wireless Communications.

[18]  Hongbo Zhu,et al.  Optimal Harvest-Use-Store Strategy for Energy Harvesting Wireless Systems , 2015, IEEE Transactions on Wireless Communications.

[19]  Dimitrios D. Vergados,et al.  Energy-Efficient Routing Protocols in Wireless Sensor Networks: A Survey , 2013, IEEE Communications Surveys & Tutorials.

[20]  Cai Feng-e Performance evaluation of LTE and Wi-Fi coexistence in unlicensed bands , 2015 .

[21]  Biplab Sikdar,et al.  A Survey of MAC Layer Issues and Protocols for Machine-to-Machine Communications , 2015, IEEE Internet of Things Journal.

[22]  Catherine Rosenberg,et al.  Joint Resource Allocation and User Association for Heterogeneous Wireless Cellular Networks , 2013, IEEE Transactions on Wireless Communications.

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

[24]  Yu Quan Investigation of technical thought and application strategy for the internet of things , 2010 .

[25]  Aleksandr Ometov Short-range communications within emerging wireless networks and architectures: A survey , 2013, 14th Conference of Open Innovation Association FRUCT.

[26]  Qian Zhang,et al.  Local cooperation architecture for self-healing femtocell networks , 2014, IEEE Wireless Communications.

[27]  Ashwin Sampath,et al.  Cell Association and Interference Coordination in Heterogeneous LTE-A Cellular Networks , 2010, IEEE Journal on Selected Areas in Communications.

[28]  Randy H. Katz,et al.  The Case for Wireless Overlay Networks , 1994, Mobidata.

[29]  Ozan K. Tonguz,et al.  The Mathematical Theory of Dynamic Load Balancing in Cellular Networks , 2008, IEEE Transactions on Mobile Computing.

[30]  Jeffrey G. Andrews,et al.  Heterogeneous cellular networks: From theory to practice , 2012, IEEE Communications Magazine.

[31]  Jeffrey G. Andrews,et al.  User Association for Load Balancing in Heterogeneous Cellular Networks , 2012, IEEE Transactions on Wireless Communications.

[32]  Jeffrey G. Andrews,et al.  Downlink Coordinated Multi-Point with Overhead Modeling in Heterogeneous Cellular Networks , 2012, IEEE Transactions on Wireless Communications.

[33]  Zhongding Lei,et al.  Coordinated Multipoint Transmission with Limited Backhaul Data Transfer , 2013, IEEE Transactions on Wireless Communications.

[34]  Rouzbeh Razavi,et al.  Neighbour cell list management in wireless heterogeneous networks , 2013, 2013 IEEE Wireless Communications and Networking Conference (WCNC).

[35]  Sang Hyuk Son,et al.  Deployment Strategies for Differentiated Detection in Wireless Sensor Networks , 2006, 2006 3rd Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks.

[36]  Abbas Jamalipour,et al.  Distributed Inter-BS Cooperation Aided Energy Efficient Load Balancing for Cellular Networks , 2013, IEEE Transactions on Wireless Communications.

[37]  Ian F. Akyildiz,et al.  Wireless sensor networks: a survey , 2002, Comput. Networks.

[38]  Antonis G. Gotsis,et al.  Spatial coordination strategies in future ultra-dense wireless networks , 2014, 2014 11th International Symposium on Wireless Communications Systems (ISWCS).

[39]  Ben-Jye Chang,et al.  Markov Decision Process-Based Adaptive Vertical Handoff with RSS Prediction in Heterogeneous Wireless Networks , 2009, 2009 IEEE Wireless Communications and Networking Conference.

[40]  Robert W. Heath,et al.  Interference Alignment with Analog Channel State Feedback , 2010, IEEE Transactions on Wireless Communications.

[41]  Halim Yanikomeroglu,et al.  Interference-Aware Energy-Efficient Resource Allocation for OFDMA-Based Heterogeneous Networks With Incomplete Channel State Information , 2015, IEEE Transactions on Vehicular Technology.

[42]  Wei Song,et al.  Performance Analysis of the WLAN-First Scheme in Cellular/WLAN Interworking , 2007, IEEE Transactions on Wireless Communications.

[43]  Oriol Sallent,et al.  A Markovian Approach to Radio Access Technology Selection in Heterogeneous Multiaccess/Multiservice Wireless Networks , 2008, IEEE Transactions on Mobile Computing.

[44]  ABBAS JAMALIPOUR,et al.  Network selection in an integrated wireless LAN and UMTS environment using mathematical modeling and computing techniques , 2005, IEEE Wireless Communications.

[45]  Bo Hu,et al.  A Vision of IoT: Applications, Challenges, and Opportunities With China Perspective , 2014, IEEE Internet of Things Journal.

[46]  Dusit Niyato,et al.  Dynamics of Network Selection in Heterogeneous Wireless Networks: An Evolutionary Game Approach , 2009, IEEE Transactions on Vehicular Technology.

[47]  Gaurav S. Sukhatme,et al.  An Incremental Self-Deployment Algorithm for Mobile Sensor Networks , 2002, Auton. Robots.

[48]  F. Richard Yu,et al.  Energy-Efficient Resource Allocation for Heterogeneous Cognitive Radio Networks with Femtocells , 2012, IEEE Transactions on Wireless Communications.

[49]  Ekram Hossain Heterogeneous Wireless Access Networks: Architectures and Protocols , 2010 .

[50]  Sergey D. Andreev,et al.  3GPP LTE traffic offloading onto WiFi Direct , 2013, 2013 IEEE Wireless Communications and Networking Conference Workshops (WCNCW).

[51]  Gaurav S. Sukhatme,et al.  Mobile Sensor Network Deployment using Potential Fields : A Distributed , Scalable Solution to the Area Coverage Problem , 2002 .

[52]  Sayantan Choudhury,et al.  Performance Evaluation of LTE and Wi-Fi Coexistence in Unlicensed Bands , 2013, 2013 IEEE 77th Vehicular Technology Conference (VTC Spring).

[53]  Junyi Li,et al.  Network densification: the dominant theme for wireless evolution into 5G , 2014, IEEE Communications Magazine.

[54]  Yongming Huang,et al.  Joint wireless information and energy transfer in massive distributed antenna systems , 2015, IEEE Communications Magazine.

[55]  Ahmed H. Zahran,et al.  Signal threshold adaptation for vertical handoff in heterogeneous wireless networks , 2006, Mob. Networks Appl..

[56]  Jeffrey G. Andrews,et al.  Analytical Evaluation of Fractional Frequency Reuse for Heterogeneous Cellular Networks , 2011, IEEE Transactions on Communications.

[57]  Dong-Ho Cho,et al.  CoBRA: Cooperative Beamforming-Based Resource Allocation for Self-Healing in SON-Based Indoor Mobile Communication System , 2013, IEEE Transactions on Wireless Communications.

[58]  H. Vincent Poor,et al.  The Use of Spatially Random Base Stations in Cloud Radio Access Networks , 2013, IEEE Signal Processing Letters.