Abstract
Wireless rechargeable sensor networks (WRSN) provide an approach to address the energy scarcity problem in wireless sensor networks by introducing static or mobile chargers to recharge the energy-hungry sensor nodes. Most of the existing studies on WRSN focus on optimizing the charging schedule to static nodes or mobile nodes with deterministic mobility. In this work, we aim to provide charging service for nodes with nondeterministic mobility by deploying the minimal number of static chargers. We propose a novel charger placement scheme by using the mobility characteristics reflected by the node’s stay points. In the proposed scheme, we first generate one candidate location based on every stay point exacted from the nodal historic trajectories. And then, we weigh each candidate location by the energy gain of placing a charger on it. Then we prove it is an NP-hard problem to select the minimal subset of candidate locations to place chargers and propose a greedy algorithm to address this problem. The simulation results show the proposed algorithm outperforms the existing algorithm.
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Acknowledgement
This work is supported by the National Key R&D Program of China(2018YFC0832303).
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Zhong, L., Duan, S., Chen, Y., Lin, F. (2021). A Stay-Point-Based Charger Placement Scheme for Nondeterministic Mobile Nodes. In: Liu, Z., Wu, F., Das, S.K. (eds) Wireless Algorithms, Systems, and Applications. WASA 2021. Lecture Notes in Computer Science(), vol 12937. Springer, Cham. https://doi.org/10.1007/978-3-030-85928-2_40
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DOI: https://doi.org/10.1007/978-3-030-85928-2_40
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