Mobile Charger Scheduling Algorithm for Energy Recharging in Wireless Sensor Networks

In wireless sensor networks (WSNs), the finite battery capacity of the sensor nodes restricts the lifetime of the network. With the wireless power transfer (WPT) technology, the mobile chargers can transmit energy to the sensor nodes, which provides a solution for recharging the sensors. Therefore,...

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Bibliographic Details
Published in2022 International Conference on Electronic Systems and Intelligent Computing (ICESIC) pp. 18 - 22
Main Authors Dande, Bhargavi, Chang, Chih-Yung, Fan, Cheng-De
Format Conference Proceeding
LanguageEnglish
Published IEEE 22.04.2022
Subjects
Batteries
Heuristic algorithms
mobile charger
Scheduling
Scheduling algorithms
sensors
Wireless power transfer
wireless rechargeable sensor networks
Wireless sensor networks
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DOI10.1109/ICESIC53714.2022.9783579

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Summary:In wireless sensor networks (WSNs), the finite battery capacity of the sensor nodes restricts the lifetime of the network. With the wireless power transfer (WPT) technology, the mobile chargers can transmit energy to the sensor nodes, which provides a solution for recharging the sensors. Therefore, this paper proposed a mobile charger scheduling (MCS) algorithm, which maximizes the coverage quality of the network. The proposed MCS algorithm formulated an adaptive recharging request threshold for the sensor nodes. Then the coverage benefit (CB) of the requested sensors is considered to dynamically adjust the path. Finally, through the experimental analysis, it is shown that the proposed MCS algorithm gains the best performance than the existing works.
DOI:10.1109/ICESIC53714.2022.9783579