K. Matsuo, Keisuke Goto, A. Kanzaki, T. Hara, S. Nishio
{"title":"密集移动无线传感器网络中高效事件监测的研究","authors":"K. Matsuo, Keisuke Goto, A. Kanzaki, T. Hara, S. Nishio","doi":"10.1109/SRDS.2014.65","DOIUrl":null,"url":null,"abstract":"In dense mobile wireless sensor networks, it is desirable to reduce traffic for data gathering as much as possible while satisfying an application requirement. In this paper, focusing on an application which monitors the time-variant shape of events, we discuss an approach to achieve an efficient monitoring with small traffic in dense mobile wireless sensor networks.","PeriodicalId":440331,"journal":{"name":"2014 IEEE 33rd International Symposium on Reliable Distributed Systems","volume":"23 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Study on Efficient Event Monitoring in Dense Mobile Wireless Sensor Networks\",\"authors\":\"K. Matsuo, Keisuke Goto, A. Kanzaki, T. Hara, S. Nishio\",\"doi\":\"10.1109/SRDS.2014.65\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In dense mobile wireless sensor networks, it is desirable to reduce traffic for data gathering as much as possible while satisfying an application requirement. In this paper, focusing on an application which monitors the time-variant shape of events, we discuss an approach to achieve an efficient monitoring with small traffic in dense mobile wireless sensor networks.\",\"PeriodicalId\":440331,\"journal\":{\"name\":\"2014 IEEE 33rd International Symposium on Reliable Distributed Systems\",\"volume\":\"23 1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE 33rd International Symposium on Reliable Distributed Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SRDS.2014.65\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 33rd International Symposium on Reliable Distributed Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SRDS.2014.65","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Study on Efficient Event Monitoring in Dense Mobile Wireless Sensor Networks
In dense mobile wireless sensor networks, it is desirable to reduce traffic for data gathering as much as possible while satisfying an application requirement. In this paper, focusing on an application which monitors the time-variant shape of events, we discuss an approach to achieve an efficient monitoring with small traffic in dense mobile wireless sensor networks.