信号处理
信號處理
신호처리
SIGNAL PROCESSING
2015年
7期
833-842
,共10页
无线传感器网络%分簇%能量有效性%数据融合%信号检测
無線傳感器網絡%分簇%能量有效性%數據融閤%信號檢測
무선전감기망락%분족%능량유효성%수거융합%신호검측
wireless sensor networks%clustering%energy efficiency%data fusion%signal detection
针对无线传感器网络能量受限的特点,将信号源数目估计算法和无线传感器网络拓扑结构结合起来,提出了一种基于决策级融合的多簇协作无线传感器网络信号源数目估计算法,并且在 LEACH 分簇算法的基础上提出了一种新的基于节点剩余能量簇头选择算法。首先对传感器网络分簇,各簇独立进行信号源数目估计,产生本地判决结果;然后在融合中心对各簇的判决结果进行融合得到对信号源数目的估计值。仿真结果表明本文提出的信号源数目估计方法和簇头选择算法能够在保证估计可靠性的前提下有效降低网络传输能耗,延长网络生存周期。
針對無線傳感器網絡能量受限的特點,將信號源數目估計算法和無線傳感器網絡拓撲結構結閤起來,提齣瞭一種基于決策級融閤的多簇協作無線傳感器網絡信號源數目估計算法,併且在 LEACH 分簇算法的基礎上提齣瞭一種新的基于節點剩餘能量簇頭選擇算法。首先對傳感器網絡分簇,各簇獨立進行信號源數目估計,產生本地判決結果;然後在融閤中心對各簇的判決結果進行融閤得到對信號源數目的估計值。倣真結果錶明本文提齣的信號源數目估計方法和簇頭選擇算法能夠在保證估計可靠性的前提下有效降低網絡傳輸能耗,延長網絡生存週期。
침대무선전감기망락능량수한적특점,장신호원수목고계산법화무선전감기망락탁복결구결합기래,제출료일충기우결책급융합적다족협작무선전감기망락신호원수목고계산법,병차재 LEACH 분족산법적기출상제출료일충신적기우절점잉여능량족두선택산법。수선대전감기망락분족,각족독립진행신호원수목고계,산생본지판결결과;연후재융합중심대각족적판결결과진행융합득도대신호원수목적고계치。방진결과표명본문제출적신호원수목고계방법화족두선택산법능구재보증고계가고성적전제하유효강저망락전수능모,연장망락생존주기。
In view of the characteristic of the energy constraint of the wireless sensor networks,a method is proposed for the estimation of the number of signal sources in wireless sensor networks,which is based on clustering and decision-level data fusion.And a new cluster head selection algorithm based upon nodes’residual energy is proposed.In the method proposed in this paper,the first is to divide the sensor networks into clusters with each cluster independently working on the estimation of the number of signal sources so as to generate the final results.Secondly,the results from each cluster at the fusion center are fused to obtain the estimates of the number of signal sources.The simulation results demonstrate that the methods of estima-ting the number of signal sources and cluster head selection algorithm proposed in this paper can efficiently reduce energy con-sumption for network transmission,and increase network life on the premise that the reliability of the estimation is ensured.