计算机工程
計算機工程
계산궤공정
COMPUTER ENGINEERING
2014年
10期
98-103,108
,共7页
无线传感器网络%目标跟踪%无迹粒子滤波算法%动态分簇%接收信号强度指示模型%无迹卡尔曼滤波算法
無線傳感器網絡%目標跟蹤%無跡粒子濾波算法%動態分簇%接收信號彊度指示模型%無跡卡爾曼濾波算法
무선전감기망락%목표근종%무적입자려파산법%동태분족%접수신호강도지시모형%무적잡이만려파산법
Wireless Sensor Network(WSN)%target tracking%Unscented Particle Filtering(UPF) algorithm%dynamic clustering%Received Signal Strength Indications(RSSI) model%Unscented Kalman Filtering(UKF) algorithm
目标跟踪是无线传感器网络中的一项基本应用,如何在保证高跟踪精度的前提下降低网络能耗、延长网络生命周期是目标跟踪的核心问题。为此,提出一种基于能量高效动态分簇的目标跟踪算法。从最大限度节省能量的角度出发,设计动态簇生成方法,利用无迹粒子滤波算法对目标进行跟踪,预测下一时刻目标的位置坐标,并根据预测结果给出簇头更换策略。仿真结果表明,与PPF和DPF算法相比,该算法不仅具有较高的目标跟踪精度,而且能有效降低网络能耗,延长网络寿命。
目標跟蹤是無線傳感器網絡中的一項基本應用,如何在保證高跟蹤精度的前提下降低網絡能耗、延長網絡生命週期是目標跟蹤的覈心問題。為此,提齣一種基于能量高效動態分簇的目標跟蹤算法。從最大限度節省能量的角度齣髮,設計動態簇生成方法,利用無跡粒子濾波算法對目標進行跟蹤,預測下一時刻目標的位置坐標,併根據預測結果給齣簇頭更換策略。倣真結果錶明,與PPF和DPF算法相比,該算法不僅具有較高的目標跟蹤精度,而且能有效降低網絡能耗,延長網絡壽命。
목표근종시무선전감기망락중적일항기본응용,여하재보증고근종정도적전제하강저망락능모、연장망락생명주기시목표근종적핵심문제。위차,제출일충기우능량고효동태분족적목표근종산법。종최대한도절성능량적각도출발,설계동태족생성방법,이용무적입자려파산법대목표진행근종,예측하일시각목표적위치좌표,병근거예측결과급출족두경환책략。방진결과표명,여PPF화DPF산법상비,해산법불부구유교고적목표근종정도,이차능유효강저망락능모,연장망락수명。
Target tracking is a basic application in Wireless Sensor Network ( WSN ) . It is a core problem to make a high tracking precision with low energy consumption and prolong the network’ s life cycle. Aiming at this problem,a target tracking algorithm based on energy-efficient dynamic clustering is proposed. It firstly presents a new method of generating the dynamic cluster from the view of greatly saving energy. Then, the generated cluster structure uses the Unscented Particle Filtering( UPF) algorithm to track the target and predict the location coordinates in next moment. Finally,according to the predicted results,this paper puts forward a cluster head replaced policy. Simulation results show that,compared with PPF algorithm and DPF algorithm,this algorithm not only has higher target tracking precision,but also effectively reduces the network energy consumption and extends the network lifetime.