PLPR: Joint Perpetual Lifetime and Path Reduction for Energy Recharging Using Multiple Mobile Chargers in WRSNs

Energy recharging is one of the most important issues in wireless rechargeable sensor networks (WRSNs). Many energy recharging algorithms have been proposed using multiple mobile chargers (MCs). However, the number of MCs that significantly impact the network lifetime of the given WRSNs still can be improved. This article proposes an energy recharging algorithm, called joint perpetual lifetime and path reduction algorithm (PLPR), which uses the MC to recharge the sensors and uses the super MC to recharge the MCs, aiming at minimizing the number of MCs and super MCs while achieving the purpose of sustainable survival of all sensors. Initially, the proposed PLPR determines the number of MCs, clusters the sensors into several groups, and constructs the initial path for each MC in each cluster. Based on these paths, the proposed PLPR further reduces the path length in each cluster and improves the recharging efficiency of the MC. To satisfy the perpetual lifetime of the MCs, the PLPR further constructs an initial path, reduces the path length, and schedules the recharging task of super MCs. Performance evaluations reveal that the proposed PLPR outperforms existing energy recharging algorithms in terms of average energy consumption, total recharging time, charging efficiency, traveling distance of MC, fairness indices, standard deviation (SD) of recharging efficiency, and average waiting time for a given WRSN.

Authors

Institutions

Publication Details

Journal
IEEE Sensors Journal
Published
2024-08-05
DOI
https://doi.org/10.1109/jsen.2024.3434374
Citations
2
Primary Topic
Energy Harvesting in Wireless Networks
Type
article
Field-Weighted Citation Impact
0.42

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

PLPR: Joint Perpetual Lifetime and Path Reduction for Energy Recharging Using Multiple Mobile Chargers in WRSNs

Chih‐Yung Chang, Diptendu Sinha Roy, Weimin Wen, Q.Q. Zhang
2 citations
IEEE Sensors Journal
Energy Harvesting in Wireless Networks
0.42
article

PLPR: Joint Perpetual Lifetime and Path Reduction for Energy Recharging Using Multiple Mobile Chargers in WRSNs

Chih‐Yung Chang, Diptendu Sinha Roy, Weimin Wen, Q.Q. Zhang
article en
2 citations

Abstract

Energy recharging is one of the most important issues in wireless rechargeable sensor networks (WRSNs). Many energy recharging algorithms have been proposed using multiple mobile chargers (MCs). However, the number of MCs that significantly impact the network lifetime of the given WRSNs still can be improved. This article proposes an energy recharging algorithm, called joint perpetual lifetime and path reduction algorithm (PLPR), which uses the MC to recharge the sensors and uses the super MC to recharge the MCs, aiming at minimizing the number of MCs and super MCs while achieving the purpose of sustainable survival of all sensors. Initially, the proposed PLPR determines the number of MCs, clusters the sensors into several groups, and constructs the initial path for each MC in each cluster. Based on these paths, the proposed PLPR further reduces the path length in each cluster and improves the recharging efficiency of the MC. To satisfy the perpetual lifetime of the MCs, the PLPR further constructs an initial path, reduces the path length, and schedules the recharging task of super MCs. Performance evaluations reveal that the proposed PLPR outperforms existing energy recharging algorithms in terms of average energy consumption, total recharging time, charging efficiency, traveling distance of MC, fairness indices, standard deviation (SD) of recharging efficiency, and average waiting time for a given WRSN.

IEEE Sensors JournalVol. 24(19)
Tamkang University (TW), Chuzhou University (CN), National Institute of Technology Meghalaya (IN)
Science Research Foundation of Xijing University, Natural Science Foundation of Anhui Province
Affordable and clean energy
Openalex Percentile: Top 39%
Energy Harvesting in Wireless Networks
0.42
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

PLPR: Joint Perpetual Lifetime and Path Reduction for Energy Recharging Using Multiple Mobile Chargers in WRSNs — Chih‐Yung Chang, Diptendu Sinha Roy, et al. · IEEE Sensors Journal (2024) | TGRS Research Map | TGRS