A multi-objective algorithm for joint energy replenishment and data collection in wireless rechargeable sensor networks

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Abstract

In the existing researches on the Wireless Rechargeable Sensor Networks (WRSNs), the charging path is scheduled firstly, and then the method of data collection is decided based on the path, which fails to ensure the high charging service quality and the performance of data collection. To solve this problem, a multi-objective path planning optimization model is proposed with the objectives of maximizing the remaining lifespan of sensor nodes and the amount of data collection. To deal with it, a Multi-Objective Discrete Fireworks Algorithm (MODFA) based on grid is proposed in this paper. Simulation results show that the algorithm proposed has better performance than NSGA-II, SPEA-II and MOEA/D in term of the diversity and convergence of Pareto front.

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Wei, Z., Wang, L., Lyu, Z., Shi, L., Li, M., & Wei, X. (2018). A multi-objective algorithm for joint energy replenishment and data collection in wireless rechargeable sensor networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10874 LNCS, pp. 497–508). Springer Verlag. https://doi.org/10.1007/978-3-319-94268-1_41

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