A Hybrid Metaheuristic Algorithm for Stop Point Selection in Wireless Rechargeable Sensor Network


  • Siron Anita Susan T Department of Computer Science and Engineering, National Institute of Technology, Tiruchirappalli, India
  • Nithya Balasubramanian Department of Computer Science and Engineering, National Institute of Technology, Tiruchirappalli, India




wireless rechargeable sensor network (WRSN), mobile charging vehicle (MCV), stop point (SP), optimization, hybrid algorithm


A wireless rechargeable sensor network (WRSN) enables charging of rechargeable sensor nodes (RSN) wirelessly through a mobile charging vehicle (MCV). Most existing works choose the MCV’s stop point (SP) at random, the cluster’s center, or the cluster head position, all without exploring the demand from RSNs. It results in a long charging delay, a low charging throughput, frequent MCV trips, and more dead nodes. To overcome these issues, this paper proposes a hybrid metaheuristic algorithm for stop point selection (HMA-SPS) that combines the techniques of the dragonfly algorithm (DA), firefly algorithm (FA), and gray wolf optimization (GWO) algorithms. Using FA and GWO techniques, DA predicts an ideal SP using the run-time metrics of RSNs, such as energy, delay, distance, and trust factors. The simulated results demonstrate faster convergence with low delay and highlight that more RSNs can be recharged with fewer MCV visits, further enhancing energy utilization, throughput, network lifetime, and trust factor.


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How to Cite

Siron Anita Susan T and Nithya Balasubramanian, “A Hybrid Metaheuristic Algorithm for Stop Point Selection in Wireless Rechargeable Sensor Network”, Int. j. eng. technol. innov., vol. 13, no. 4, pp. 296–312, Sep. 2023.