Y. Ghiassi, M. M. Rad, M. Nikjoo, A. H. Mohseni, B. Khalaj
{"title":"An efficient MAC protocol for sensor network considering energy consumption and information retrieval pattern","authors":"Y. Ghiassi, M. M. Rad, M. Nikjoo, A. H. Mohseni, B. Khalaj","doi":"10.1109/DSD.2005.17","DOIUrl":null,"url":null,"abstract":"A sensor network with mobile agents (SENMA) is an architecture proposed for large scale sensor networks in which the access point moves above the network and gathers information from a limited number of nodes. However, the performance of such system is limited by estimation errors and packet errors due to collision. In this paper, we first derive the equations of distortion in a general scenario and use this model to obtain four best node positions in order to achieve min-max estimation error in a square. In addition, an opportunistic MAC is proposed that considers both collision effects and estimation error based on channel state information (CSI). As the simulation results show the proposed scheme achieves an optimum estimation with minimum collision and energy consumption.","PeriodicalId":119054,"journal":{"name":"8th Euromicro Conference on Digital System Design (DSD'05)","volume":"241 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"8th Euromicro Conference on Digital System Design (DSD'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DSD.2005.17","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A sensor network with mobile agents (SENMA) is an architecture proposed for large scale sensor networks in which the access point moves above the network and gathers information from a limited number of nodes. However, the performance of such system is limited by estimation errors and packet errors due to collision. In this paper, we first derive the equations of distortion in a general scenario and use this model to obtain four best node positions in order to achieve min-max estimation error in a square. In addition, an opportunistic MAC is proposed that considers both collision effects and estimation error based on channel state information (CSI). As the simulation results show the proposed scheme achieves an optimum estimation with minimum collision and energy consumption.