{"title":"Extending Network Lifetime by Exploiting Wireless Charging in WSN","authors":"L. Quan, T. Nguyen, Phi-Le Nguyen","doi":"10.1109/RIVF48685.2020.9140727","DOIUrl":null,"url":null,"abstract":"In recent years, wireless energy transfer technology has emerged as a promising solution to supply energy for sensors and extend the network lifetime. In the literature, although significant efforts have been devoted to optimizing the charging schedule, it still remains a challenging problem. In this paper, we study how to prolong the network lifetime by optimizing the charging time. Specifically, we aim at proposing a charging schedule that maximizes the minimum residual energy of sensors. We first mathematically formulate the problem under mixed integer and linear programming. Then, we propose a lightweight heuristic algorithm. The experiment results show that our proposed algorithms extend network lifetime more than 10% compared to the state-of-the-art.","PeriodicalId":171525,"journal":{"name":"Conference on Research, Innovation and Vision for the Future in Computing & Communication Technologies","volume":"07 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference on Research, Innovation and Vision for the Future in Computing & Communication Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RIVF48685.2020.9140727","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
In recent years, wireless energy transfer technology has emerged as a promising solution to supply energy for sensors and extend the network lifetime. In the literature, although significant efforts have been devoted to optimizing the charging schedule, it still remains a challenging problem. In this paper, we study how to prolong the network lifetime by optimizing the charging time. Specifically, we aim at proposing a charging schedule that maximizes the minimum residual energy of sensors. We first mathematically formulate the problem under mixed integer and linear programming. Then, we propose a lightweight heuristic algorithm. The experiment results show that our proposed algorithms extend network lifetime more than 10% compared to the state-of-the-art.