Computer Science ›› 2018, Vol. 45 ›› Issue (11A): 315-319,334.

• 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: Wireless rechargeable sensor networks, Mobile charging, Energy allocation, Energy efficiency

CLC Number: 

  • TP393
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