中南大学学报(自然科学版)
中南大學學報(自然科學版)
중남대학학보(자연과학판)
JOURNAL OF CENTRAL SOUTH UNIVERSITY
2009年
5期
1336-1344
,共9页
刘安丰%贺辉%吴贤佑%陈志刚
劉安豐%賀輝%吳賢祐%陳誌剛
류안봉%하휘%오현우%진지강
传感器网络%移动基站%网络优化%能量消耗均衡%网络寿命
傳感器網絡%移動基站%網絡優化%能量消耗均衡%網絡壽命
전감기망락%이동기참%망락우화%능량소모균형%망락수명
wireless sensor networks%mobile base station%network optimization%energy consumption balancing%network life
针对已有研究只讨论r<<R (即发射半径远小于网络半径)且节点发射功率固定的网络,推广到一般的网络:即r与R可以是任意关系,且节点的发射功率可变,其最大发射半径是最小能量发射半径r的k倍的传感器网络.采用更精确的分析方法,给出使得网络总能量消耗最小,网络寿命最长时的缓冲区位置与能量发射级别参数的选取方法.研究结果表明:传感器节点的能量发射级别可变时,通过选择优化的发射功率,与采用固定功率发射方法相比能够提高网络寿命5倍以上;当采用单跳网络时,缓冲区中心到圆心的距离L=2/3R,网络总能量消耗最小,当L=2/3R时,网络的寿命最长,证明以往研究认为多跳传感器网络最优的缓冲区位置位于L=2/3R处是不准确的,该位置与多个因素相关;综合优化缓冲区位置与节点能量发射功率的方法,可提高网络能量利用效益1个数量级以上.本文的研究结论对优化传感器网络具有较好的指导作用.
針對已有研究隻討論r<<R (即髮射半徑遠小于網絡半徑)且節點髮射功率固定的網絡,推廣到一般的網絡:即r與R可以是任意關繫,且節點的髮射功率可變,其最大髮射半徑是最小能量髮射半徑r的k倍的傳感器網絡.採用更精確的分析方法,給齣使得網絡總能量消耗最小,網絡壽命最長時的緩遲區位置與能量髮射級彆參數的選取方法.研究結果錶明:傳感器節點的能量髮射級彆可變時,通過選擇優化的髮射功率,與採用固定功率髮射方法相比能夠提高網絡壽命5倍以上;噹採用單跳網絡時,緩遲區中心到圓心的距離L=2/3R,網絡總能量消耗最小,噹L=2/3R時,網絡的壽命最長,證明以往研究認為多跳傳感器網絡最優的緩遲區位置位于L=2/3R處是不準確的,該位置與多箇因素相關;綜閤優化緩遲區位置與節點能量髮射功率的方法,可提高網絡能量利用效益1箇數量級以上.本文的研究結論對優化傳感器網絡具有較好的指導作用.
침대이유연구지토론r<<R (즉발사반경원소우망락반경)차절점발사공솔고정적망락,추엄도일반적망락:즉r여R가이시임의관계,차절점적발사공솔가변,기최대발사반경시최소능량발사반경r적k배적전감기망락.채용경정학적분석방법,급출사득망락총능량소모최소,망락수명최장시적완충구위치여능량발사급별삼수적선취방법.연구결과표명:전감기절점적능량발사급별가변시,통과선택우화적발사공솔,여채용고정공솔발사방법상비능구제고망락수명5배이상;당채용단도망락시,완충구중심도원심적거리L=2/3R,망락총능량소모최소,당L=2/3R시,망락적수명최장,증명이왕연구인위다도전감기망락최우적완충구위치위우L=2/3R처시불준학적,해위치여다개인소상관;종합우화완충구위치여절점능량발사공솔적방법,가제고망락능량이용효익1개수량급이상.본문적연구결론대우화전감기망락구유교호적지도작용.
Based on the fact that many researches only discussed the fixed node's transmitting power, the general WSN was extended so that r and R could be arbitrary, and the node transmission power was variable, its biggest transmitting radius is k times than the smallest radius r. A more accurate analysis was given to gain the optimal network parameters which included the smallest total energy consumption, and the location and energy level which made the longest life expectancy. The results show that the network life can be improved 5 times than that of fixed node's transmitting power only by selecting the optimal transmitting power. When the network hop is single, the location of buffer
zone L=2/3R makes the minimum total energy consumption, when the network hop is single, the location of buffer zone L=2/3R makes the longest network life. The overall optimization algorithm is proposed by selecting the optimal
of node's transmitting power and the location of the buffer zone. The algorithm can improve network efficiency of energy use more than one order of magnitude.