{"title":"On Energy-Efficient Time Synchronization for Wireless Sensors under Large-Scale and Small-Scale Fading Effects","authors":"P. Briff, A. Lutenberg, L. Vega, Fabian Vargas","doi":"10.4236/WSN.2013.510021","DOIUrl":null,"url":null,"abstract":"In this work, the existing trade-off between time synchronization \nquality and energy is studied for both large-scale and small-scale fading \nwireless channels. We analyze the clock offset estimation problem using \none-way, two-way and N-way message exchange mechanisms affected by Gaussian and \nexponentially distributed impairments. Our main contribution is a \ngeneral relationship between the total energy required for synchronizing a \nwireless sensor network and the clock offset estimation error by means of the \ntransmit power, number of transmitted messages and average message delay, \nderiving the energy optimal lower bound as a function of the time \nsynchronization quality and the number of hops in a multi-hop network.","PeriodicalId":58712,"journal":{"name":"无线传感网络(英文)","volume":"2013 1","pages":"181-193"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"无线传感网络(英文)","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.4236/WSN.2013.510021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In this work, the existing trade-off between time synchronization
quality and energy is studied for both large-scale and small-scale fading
wireless channels. We analyze the clock offset estimation problem using
one-way, two-way and N-way message exchange mechanisms affected by Gaussian and
exponentially distributed impairments. Our main contribution is a
general relationship between the total energy required for synchronizing a
wireless sensor network and the clock offset estimation error by means of the
transmit power, number of transmitted messages and average message delay,
deriving the energy optimal lower bound as a function of the time
synchronization quality and the number of hops in a multi-hop network.