{"title":"基于联合博弈论的无线传感器网络协同定位","authors":"B. B. Haro, P. Belanovic, S. Zazo","doi":"10.5281/ZENODO.41935","DOIUrl":null,"url":null,"abstract":"Positioning in Wireless Sensor Networks is a key feature in many applications. Finding efficient algorithms to perform this task is of practical importance in systems where limitations on the computational power and battery life are a major issue. Forming coalitions within the set of visible nodes to a target can help reduce communication costs. We can then formulate the problem as a coalitional game where cooperation does not come for free.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":"{\"title\":\"Cooperative localisation in wireless sensor networks using coalitional game theory\",\"authors\":\"B. B. Haro, P. Belanovic, S. Zazo\",\"doi\":\"10.5281/ZENODO.41935\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Positioning in Wireless Sensor Networks is a key feature in many applications. Finding efficient algorithms to perform this task is of practical importance in systems where limitations on the computational power and battery life are a major issue. Forming coalitions within the set of visible nodes to a target can help reduce communication costs. We can then formulate the problem as a coalitional game where cooperation does not come for free.\",\"PeriodicalId\":409817,\"journal\":{\"name\":\"2010 18th European Signal Processing Conference\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-08-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"19\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 18th European Signal Processing Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5281/ZENODO.41935\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 18th European Signal Processing Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5281/ZENODO.41935","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cooperative localisation in wireless sensor networks using coalitional game theory
Positioning in Wireless Sensor Networks is a key feature in many applications. Finding efficient algorithms to perform this task is of practical importance in systems where limitations on the computational power and battery life are a major issue. Forming coalitions within the set of visible nodes to a target can help reduce communication costs. We can then formulate the problem as a coalitional game where cooperation does not come for free.