%0 Journal Article %T Movement-Assisted Data Gathering Scheme with Load-Balancing for Sensor Networks
传感器网络中具有负载平衡的移动协助数据收集模式 %A SHI Gao-Tao %A LIAO Ming-Hong %A
石高涛 %A 廖明宏 %J 软件学报 %D 2007 %I %X Data gathering is the basic function of the sensor networks.However,the existing gathering schemes are almost based on the architecture with a static base station which results in the quick death of nodes around the base station.The reason is that the sensor nodes located near a base station have to relay data for a large part of the network and thus deplete their batteries very quickly.This paper discusses how to use the mobile base station for data gathering with load-balancing.A data gathering scheme MADG(movement-assisted data gathering),which makes use of the mobile base station for data collection,is presented.In this scheme,the base station moves in a stationary annularity area exploited for data buffering.The gathered data.are firstly forwarded into the buffering area and then collected by the mobile base station.It is theoretically proved that the location 2~(1/2)R/2 away from the center is the optimal location for minimizing the energy consumption for transmitting data and that there exists a location which can make the maximal node load minimize.This paper then considers the optimum location jointing the energy consumption and load-balancing based on above analyses.Compared with the static base station scheme and the existing mobile base station scheme,MADG reduces the load by over 95% and 80%,respectively. %K sensor network %K mobile base station %K data gathering %K load-balancing %K network lifetime
传感器网络 %K 移动基站 %K 数据收集 %K 负载平衡 %K 网络生命周期 %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=C6E100AFE3EAE2CB&yid=A732AF04DDA03BB3&vid=13553B2D12F347E8&iid=9CF7A0430CBB2DFD&sid=A546221D94E329E5&eid=2C502C9A2A834A49&journal_id=1000-9825&journal_name=软件学报&referenced_num=1&reference_num=15