Artificial-Intelligence-Based Charger Deployment in Wireless Rechargeable Sensor Networks

Hsin-Hung Cho, Wei-Che Chien, Fan-Hsun Tseng and Han-Chieh Chao ()
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Hsin-Hung Cho: Department of Computer Science and Information Engineering, National Ilan University, Yilan 260, Taiwan
Wei-Che Chien: Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien 974, Taiwan
Fan-Hsun Tseng: Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan 701, Taiwan
Han-Chieh Chao: Department of Electrical Engineering, National Dong Hwa University, Hualien 974, Taiwan

Future Internet, 2023, vol. 15, issue 3, 1-18

Abstract: To extend a network’s lifetime, wireless rechargeable sensor networks are promising solutions. Chargers can be deployed to replenish energy for the sensors. However, deployment cost will increase when the number of chargers increases. Many metrics may affect the final policy for charger deployment, such as distance, the power requirement of the sensors and transmission radius, which makes the charger deployment problem very complex and difficult to solve. In this paper, we propose an efficient method for determining the field of interest (FoI) in which to find suitable candidate positions of chargers with lower computational costs. In addition, we designed four metaheuristic algorithms to address the local optima problem. Since we know that metaheuristic algorithms always require more computational costs for escaping local optima, we designed a new framework to reduce the searching space effectively. The simulation results show that the proposed method can achieve the best price–performance ratio.

Keywords: wireless rechargeable sensor network (WRSN); wireless sensor network (WSN); power consumption; network planning; artificial intelligence; internet of things (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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