{"title":"传感器网络中无线能量传输的能量平衡","authors":"H. Michizu, Y. Sudo, H. Kakugawa, T. Masuzawa","doi":"10.1109/CANDARW.2018.00069","DOIUrl":null,"url":null,"abstract":"Wireless energy transfer is a technology to transmit electricity without wire, and it is a promising technology for charging battery of mobile devices. In battery powered sensor networks, it is important to balance electric energy of batteries of nodes in order to maximize the life time of networks. In this paper, we propose two distributed protocols to balance electric energy of batteries of nodes. The proposed algorithms are based on the population protocol model which is a computational model for networked nodes with very limited resources. The goals of the algorithms are twofold: minimizing the loss of electric energy caused by wireless transmission, and minimizing the time to balance. The proposed algorithms are evaluated by computer simulation.","PeriodicalId":329439,"journal":{"name":"2018 Sixth International Symposium on Computing and Networking Workshops (CANDARW)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Energy Balancing by Wireless Energy Transfer in Sensor Networks\",\"authors\":\"H. Michizu, Y. Sudo, H. Kakugawa, T. Masuzawa\",\"doi\":\"10.1109/CANDARW.2018.00069\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wireless energy transfer is a technology to transmit electricity without wire, and it is a promising technology for charging battery of mobile devices. In battery powered sensor networks, it is important to balance electric energy of batteries of nodes in order to maximize the life time of networks. In this paper, we propose two distributed protocols to balance electric energy of batteries of nodes. The proposed algorithms are based on the population protocol model which is a computational model for networked nodes with very limited resources. The goals of the algorithms are twofold: minimizing the loss of electric energy caused by wireless transmission, and minimizing the time to balance. The proposed algorithms are evaluated by computer simulation.\",\"PeriodicalId\":329439,\"journal\":{\"name\":\"2018 Sixth International Symposium on Computing and Networking Workshops (CANDARW)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Sixth International Symposium on Computing and Networking Workshops (CANDARW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CANDARW.2018.00069\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Sixth International Symposium on Computing and Networking Workshops (CANDARW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CANDARW.2018.00069","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Energy Balancing by Wireless Energy Transfer in Sensor Networks
Wireless energy transfer is a technology to transmit electricity without wire, and it is a promising technology for charging battery of mobile devices. In battery powered sensor networks, it is important to balance electric energy of batteries of nodes in order to maximize the life time of networks. In this paper, we propose two distributed protocols to balance electric energy of batteries of nodes. The proposed algorithms are based on the population protocol model which is a computational model for networked nodes with very limited resources. The goals of the algorithms are twofold: minimizing the loss of electric energy caused by wireless transmission, and minimizing the time to balance. The proposed algorithms are evaluated by computer simulation.