An energy efficient periodic data gathering and charging schedule using MVs in wireless rechargeable sensor networks

Wireless rechargeable sensor networks are one of the most popular and promising research domains, with applications spreading across a wide range of fields. Due to the sensor nodes’ limited battery and storage capacity, keeping the network up for a longer period of time is challenging. One solution to this problem is to mount wireless data collection and wireless energy transfer devices on a single mobile vehicle (MV). In this article, one or multiple MVs together visit all the sensor nodes utilizing a reduced number of anchor points. The anchor points are grouped into clusters/regions. Each group is assigned an MV for collecting the data and charging the corresponding sensor nodes. Our objectives are to maximize data collection per unit energy and the energy utilization efficiency of the MVs. The comparative data gathering and charging tour of the MVs are computed using the DGCS, TSP-ACO\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$TSP-ACO$$\end{document}, and PE-DFA\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$PE-DFA$$\end{document} algorithms. The simulation results show that our proposed DGCS algorithm has outperformed the others. The analysis of variance (ANOVA) test validates the results.