{"title":"无线传感网络的能源效率最大化","authors":"Tao Liu, Xiaomei Qu, Wenrong Tan","doi":"10.1109/ICCA.2019.8899969","DOIUrl":null,"url":null,"abstract":"To solve the low energy transfer efficiency problem in wireless powered sensor networks, we propose a novel Cosoperative Power and Information Transfer Scheme (CPITS) in this paper, which utilizes the simultaneous wireless information and power transfer technique to integrate power charging with data transfer. Then, we formulate the cooperative power and information transfer problem in CPITS as a non-convex optimization problem aiming at maximizing energy efficiency. Furthermore, we provide an iteration algorithm based on the Dinkelbach method [1] and a Distributed Optimal Policy Computation Algorithm to resolve this non-convex optimization problem. Experimental results show the superiority of CPITS.","PeriodicalId":130891,"journal":{"name":"2019 IEEE 15th International Conference on Control and Automation (ICCA)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Energy Efficiency Maximization in Wireless Powered Sensor Networks\",\"authors\":\"Tao Liu, Xiaomei Qu, Wenrong Tan\",\"doi\":\"10.1109/ICCA.2019.8899969\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To solve the low energy transfer efficiency problem in wireless powered sensor networks, we propose a novel Cosoperative Power and Information Transfer Scheme (CPITS) in this paper, which utilizes the simultaneous wireless information and power transfer technique to integrate power charging with data transfer. Then, we formulate the cooperative power and information transfer problem in CPITS as a non-convex optimization problem aiming at maximizing energy efficiency. Furthermore, we provide an iteration algorithm based on the Dinkelbach method [1] and a Distributed Optimal Policy Computation Algorithm to resolve this non-convex optimization problem. Experimental results show the superiority of CPITS.\",\"PeriodicalId\":130891,\"journal\":{\"name\":\"2019 IEEE 15th International Conference on Control and Automation (ICCA)\",\"volume\":\"109 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE 15th International Conference on Control and Automation (ICCA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCA.2019.8899969\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 15th International Conference on Control and Automation (ICCA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCA.2019.8899969","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Energy Efficiency Maximization in Wireless Powered Sensor Networks
To solve the low energy transfer efficiency problem in wireless powered sensor networks, we propose a novel Cosoperative Power and Information Transfer Scheme (CPITS) in this paper, which utilizes the simultaneous wireless information and power transfer technique to integrate power charging with data transfer. Then, we formulate the cooperative power and information transfer problem in CPITS as a non-convex optimization problem aiming at maximizing energy efficiency. Furthermore, we provide an iteration algorithm based on the Dinkelbach method [1] and a Distributed Optimal Policy Computation Algorithm to resolve this non-convex optimization problem. Experimental results show the superiority of CPITS.