T. Shinjo, S. Kitajima, T. Ogawa, T. Hara, S. Nishio
{"title":"Mobile Sensor Control Methods for Reducing Power Consumption in Sparse Sensor Network","authors":"T. Shinjo, S. Kitajima, T. Ogawa, T. Hara, S. Nishio","doi":"10.1109/MDMW.2008.15","DOIUrl":null,"url":null,"abstract":"In mobile sensor networks with a small number of nodes, because nodes' radio communication range does not cover the whole sensing area, every node has to move closer to the data sink to deliver its sensed data. Thus, the power consumption to deliver the sensed data to the data sink becomes large. In this paper, we propose two novel methods that nodes construct a temporal network to deliver the sensed data with low power consumption. We also show the simulation results to evaluate our methods. We confirmed that our methods reduce the power consumption of nodes for moving to the data sink to deliver the sensed data.","PeriodicalId":242324,"journal":{"name":"2008 Ninth International Conference on Mobile Data Management Workshops, MDMW","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Ninth International Conference on Mobile Data Management Workshops, MDMW","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MDMW.2008.15","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
Abstract
In mobile sensor networks with a small number of nodes, because nodes' radio communication range does not cover the whole sensing area, every node has to move closer to the data sink to deliver its sensed data. Thus, the power consumption to deliver the sensed data to the data sink becomes large. In this paper, we propose two novel methods that nodes construct a temporal network to deliver the sensed data with low power consumption. We also show the simulation results to evaluate our methods. We confirmed that our methods reduce the power consumption of nodes for moving to the data sink to deliver the sensed data.