The dynamic routing algorithm for renewable wireless sensor networks with wireless power transfer

Wireless power transfer is recently considered as a potential approach to remove the lifetime performance bottleneck for wireless sensor networks. By using a wireless charging vehicle (WCV) to periodically recharge each sensor node's battery, a wireless sensor network may remain operational forever. In this paper, we aim to jointly optimize a dynamic multi-hop data routing, a traveling path (for the WCV to visit all the sensor nodes in a cycle), and a charging schedule (charging time for each sensor node) such that the ratio of the WCV's vacation time over the cycle time can be maximized. The key challenge of this problem (caused by time-varying data routing) is the integration and differentiation terms in problem formulation, which yields a very challenging non-polynomial program. To remove these non-polynomial terms, we introduce the concept of ( N + 1 ) -phase solution, which adopt a special dynamic routing scheme. We prove that an optimal ( N + 1 ) -phase solution can achieve the same objective value as that by an optimal time-varying solution. We further prove that the optimal traveling path must follow the shortest Hamiltonian cycle. Finally, we linearize the problem for data routing and charging schedule and thus obtain an optimal solution in polynomial-time.

[1]  Fei Zhang,et al.  Mid-Range Wireless Power Transfer and Its Application to Body Sensor Networks , 2012 .

[2]  Hanif D. Sherali,et al.  On renewable sensor networks with wireless energy transfer , 2011, 2011 Proceedings IEEE INFOCOM.

[3]  Christos G. Cassandras,et al.  On maximum lifetime routing in Wireless Sensor Networks , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

[4]  Guiling Wang,et al.  How Wireless Power Charging Technology Affects Sensor Network Deployment and Routing , 2010, 2010 IEEE 30th International Conference on Distributed Computing Systems.

[5]  Anantha Chandrakasan,et al.  Vibration-to-electric energy conversion , 1999, Proceedings. 1999 International Symposium on Low Power Electronics and Design (Cat. No.99TH8477).

[6]  M. Soljačić,et al.  Wireless Power Transfer via Strongly Coupled Magnetic Resonances , 2007, Science.

[7]  Daji Qiao,et al.  Prolonging Sensor Network Lifetime Through Wireless Charging , 2010, 2010 31st IEEE Real-Time Systems Symposium.

[8]  Daji Qiao,et al.  J-RoC: A Joint Routing and Charging scheme to prolong sensor network lifetime , 2011, 2011 19th IEEE International Conference on Network Protocols.

[9]  Wendi B. Heinzelman,et al.  Application-specific protocol architectures for wireless networks , 2000 .

[11]  Yi Shi,et al.  Rate Allocation and Network Lifetime Problems for Wireless Sensor Networks , 2008, IEEE/ACM Transactions on Networking.

[12]  Carrick Detweiler,et al.  Charge selection algorithms for maximizing sensor network life with UAV-based limited wireless recharging , 2013, 2013 IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks and Information Processing.

[13]  Skandar Basrour,et al.  Wireless sensor network node with asynchronous architecture and vibration harvesting micro power generator , 2005, sOc-EUSAI '05.

[14]  David E. Culler,et al.  Perpetual environmentally powered sensor networks , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..

[15]  M. Soljačić,et al.  Simultaneous mid-range power transfer to multiple devices , 2010 .

[16]  Fei Zhang,et al.  In vitro and in vivo studies on wireless powering of medical sensors and implantable devices , 2009, 2009 IEEE/NIH Life Science Systems and Applications Workshop.

[17]  Ellen W. Zegura,et al.  Controlling the mobility of multiple data transport ferries in a delay-tolerant network , 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

[18]  Bing Jiang,et al.  Energy Scavenging for Inductively Coupled Passive RFID Systems , 2005, IEEE Transactions on Instrumentation and Measurement.

[19]  Shahriar Mirabbasi,et al.  Design and Optimization of Resonance-Based Efficient Wireless Power Delivery Systems for Biomedical Implants , 2011, IEEE Transactions on Biomedical Circuits and Systems.

[20]  Hanif D. Sherali,et al.  Linear Programming and Network Flows , 1977 .

[21]  Anantha P. Chandrakasan,et al.  An application-specific protocol architecture for wireless microsensor networks , 2002, IEEE Trans. Wirel. Commun..

[22]  Giovanni Rinaldi,et al.  A Branch-and-Cut Algorithm for the Resolution of Large-Scale Symmetric Traveling Salesman Problems , 1991, SIAM Rev..

[23]  Hanif D. Sherali,et al.  On traveling path and related problems for a mobile station in a rechargeable sensor network , 2013, MobiHoc.

[24]  Jiming Chen,et al.  Energy provisioning in wireless rechargeable sensor networks , 2011, 2011 Proceedings IEEE INFOCOM.

[25]  Charles R. Farrar,et al.  Energy Harvesting for Structural Health Monitoring Sensor Networks , 2008 .

[26]  Yvonne Schuhmacher,et al.  Rfid Handbook Fundamentals And Applications In Contactless Smart Cards And Identification , 2016 .

[27]  Panganamala Ramana Kumar,et al.  Maximizing the functional lifetime of sensor networks , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..

[28]  Hanif D. Sherali,et al.  On renewable sensor networks with wireless energy transfer: The multi-node case , 2012, 2012 9th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON).

[29]  Waylon Brunette,et al.  Data MULEs: modeling a three-tier architecture for sparse sensor networks , 2003, Proceedings of the First IEEE International Workshop on Sensor Network Protocols and Applications, 2003..

[30]  Wentai Liu,et al.  Power supply topologies for biphasic stimulation in inductively powered implants , 2005, 2005 IEEE International Symposium on Circuits and Systems.

[31]  Wei Wang,et al.  Using mobile relays to prolong the lifetime of wireless sensor networks , 2005, MobiCom '05.

[32]  Nirupama Bulusu,et al.  Wireless Sensor Networks A Systems Perspective , 2005 .

[33]  Mani B. Srivastava,et al.  Power management in energy harvesting sensor networks , 2007, TECS.

[34]  Yiwei Thomas Hou,et al.  Some Fundamental Results on Base Station Movement Problem for Wireless Sensor Networks , 2012, IEEE/ACM Transactions on Networking.