Computer Science ›› 2018, Vol. 45 ›› Issue (11A): 315-319.

• Network & Communication • Previous Articles     Next Articles

High Energy Efficient Mobile Charging Strategy in Wireless Rechargeable Sensor Networks

WANG Zi-qiang, LIN Hui   

  1. School of Computer Science and Technology,Zhejiang University of Technology,Hangzhou 310023,Chin
  • Online:2019-02-26 Published:2019-02-26

Abstract: Mobile charging through wireless power transfer technology plays an important role in powering the wireless rechargeable sensor networks (WRSNs).Existing studies usually overlook the energy consumed by nodes during their waiting time before they get charged.These studies also make simplified assumption on the nodes’ residual energy threshold,which can easily lead to the suspension of nodes.A novel mobile charging strategy was proposed in this paper so as to solve this problem.A residual energy prediction model was proposed in order to match the nodes’ actual energy demand.The weighted path minimization problem and the weighted path based energy allocation maximization problem were formulated and solved with genetic algorithm and linear programming respectively.The proposed mobile charging strategy was then evaluated and compared with existing studies through simulations.The results demonstrate that the proposed strategy can increase the charging energy efficiency and can insure the network to operate permanently.

Key words: Energy allocation, Energy efficiency, Mobile charging, Wireless rechargeable sensor networks

CLC Number: 

  • TP393
[1]KURS A,KARALIS A,MOFFATT R,et al.Wireless power transfer via strongly coupled magnetic resonances [J].Science,2007,317(5834):83-86.
[2]KURS A,MOFFATT R,SOLJAČÌC M.Simultaneous mid-range power transfer to multiple devices [J].Applied Physics Letters,2010,96(4):044102.
[3]SHI Y,XIE L,HOU Y T,et al.On renewable sensor networks with wireless energy transfer[C]∥INFOCOM,2011 Procee-dings IEEE.IEEE,2012:1350-1358.
[4]XIE L,SHI Y,HOU Y T,et al.Multi-node wireless energy charging in sensor networks [J].IEEE/ACM Transactions on Networking,2015,23(2):437-450.
[5]SHU Y,YOUSEFI H,CHENG P,et al.Near-optimal Velocity Control for Mobile Charging in Wireless Rechargeable Sensor Networks [J].IEEE Transactions on Mobile Computing,2016,15(7):1699-1713.
[6]HE L,KONG L,GU Y,et al.Evaluating the On-Demand Mobile Charging in Wireless Sensor Networks [J].IEEE Transactions on Mobile Computing,2015,14(9):1861-1875.
[7]FU L,HE L,CHENG P,et al.ESync:Energy Synchronized Mobile Charging in Rechargeable Wireless Sensor Networks [J].IEEE Transactions on Vehicular Technology,2016,65(9):7415-7431.
[8]KHELLADI L,DJENOURI D,ROSSI M,et al.Efficient on-demand multi-node charging techniques for wireless sensor networks [J].Computer Communications,2017,101:44-56.
[9]SHU Y,SHU Y,CHENG P,et al.TOC:Localizing Wireless Rechargeable Sensors with Time of Charge [J].ACM Transactions on Sensor Networks (TOSN),2015,11(3):44-66.
[10]CHANG Z,WU X,WANG W,et al.Localization in Wireless Rechargeable Sensor Networks Using Mobile Directional Char-ger [C]∥IEEE Global Communications Conference.IEEE,2015:1-6.
[11]XU W,LIANG W,JIA X,et al.Maximizing Sensor Lifetime in a Rechargeable Sensor Network via Partial Energy Charging on Sensors [C]∥IEEE International Conference on Sensing,Communication,and Networking.IEEE,2016:1-9.
[12]WANG C,LI J,YE F,et al.A Mobile Data Gathering Framework for Wireless Rechargeable Sensor Networks with Vehicle Movement Costs and Capacity Constraints [J].IEEE Transactions on Computers,2016,65(8):2411-2417.
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