{"title":"利用无线充电技术延长WSN网络寿命","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":"{\"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}","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}
Extending Network Lifetime by Exploiting Wireless Charging in WSN
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.