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Solving the Multiple Charging Vehicles Scheduling Problem for Wireless Rechargeable Sensor Networks Using Cuckoo Search Approach

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Recent Advances in Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2018)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 110))

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Abstract

Wireless rechargeable sensor networks (WRSNs) get the focus of attention recently due to the rapid progress in wireless charging technology. Since the loading of each sensor is different, sensors request for charging in different frequencies. Also, sensors may deplete their energy quickly and need to be charged urgently under some circumstances. Therefore, a good charging route should not only minimize the moving distance of the charging device to save its energy but also charge all the sensors in time to keep the entire network working properly. In this paper, a cuckoo search approach is proposed to solve this complex problem. Based on the K-center concept, all the recharging tasks are divided into groups according to the location of sensors waiting to be charged. Preliminary simulation results show that the pre-grouping strategy can further improve the performance of the proposed cuckoo search approach.

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Correspondence to Shang-Kuan Chen .

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Cheng, RH., Chen, SK. (2019). Solving the Multiple Charging Vehicles Scheduling Problem for Wireless Rechargeable Sensor Networks Using Cuckoo Search Approach. In: Pan, JS., Ito, A., Tsai, PW., Jain, L. (eds) Recent Advances in Intelligent Information Hiding and Multimedia Signal Processing. IIH-MSP 2018. Smart Innovation, Systems and Technologies, vol 110. Springer, Cham. https://doi.org/10.1007/978-3-030-03748-2_4

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