{"title":"分布式能源消耗最小化无损数据采集无线传感器网络","authors":"Volkan Dedeoglu, S. Perreau, A. Grant","doi":"10.1109/AusCTW.2012.6164922","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a distributed optimization algorithm that minimizes the energy consumption of lossless data gathering wireless sensor networks by allocating variable transmit power and data compression/transmission rate to each sensor node. Using the Lagrange duality, we decompose the convex energy consumption minimization problem into subproblems, which can be solved by the sensor nodes distributively. The convergence of the iterative algorithm is demonstrated by the simulations.","PeriodicalId":320391,"journal":{"name":"2012 Australian Communications Theory Workshop (AusCTW)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Distributed energy consumption minimization for lossless data gathering wireless sensor networks\",\"authors\":\"Volkan Dedeoglu, S. Perreau, A. Grant\",\"doi\":\"10.1109/AusCTW.2012.6164922\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a distributed optimization algorithm that minimizes the energy consumption of lossless data gathering wireless sensor networks by allocating variable transmit power and data compression/transmission rate to each sensor node. Using the Lagrange duality, we decompose the convex energy consumption minimization problem into subproblems, which can be solved by the sensor nodes distributively. The convergence of the iterative algorithm is demonstrated by the simulations.\",\"PeriodicalId\":320391,\"journal\":{\"name\":\"2012 Australian Communications Theory Workshop (AusCTW)\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-03-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Australian Communications Theory Workshop (AusCTW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AusCTW.2012.6164922\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Australian Communications Theory Workshop (AusCTW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AusCTW.2012.6164922","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Distributed energy consumption minimization for lossless data gathering wireless sensor networks
In this paper, we propose a distributed optimization algorithm that minimizes the energy consumption of lossless data gathering wireless sensor networks by allocating variable transmit power and data compression/transmission rate to each sensor node. Using the Lagrange duality, we decompose the convex energy consumption minimization problem into subproblems, which can be solved by the sensor nodes distributively. The convergence of the iterative algorithm is demonstrated by the simulations.