CAJ | 학술논문

针对无线传感器网络中目标跟踪的精度与网络能耗这一对矛盾，提出了一种改进的分布式粒子滤波算法。通过调整滤波器的似然分布保持粒子的多样性，同时将无线传感器网络中的跟踪机制进行改进，采用根据跟踪精度自适应调整动态簇内工作的传感器节点的数目。仿真结果表明：提出的改进算法在提高跟踪性能的同时减少了能量损耗，延长了网络的使用寿命。
침대무선전감기망락중목표근종적정도여망락능모저일대모순，제출료일충개진적분포식입자려파산법。통과조정려파기적사연분포보지입자적다양성，동시장무선전감기망락중적근종궤제진행개진，채용근거근종정도자괄응조정동태족내공작적전감기절점적수목。방진결과표명：제출적개진산법재제고근종성능적동시감소료능량손모，연장료망락적사용수명。
Aiming at contradiction of tracking precision and energy consumption of target tracking in wireless sensor networks( WSNs),an improved distributed particle filtering( PF)algorithm is proposed. It can keep the variety of the particles by adjusting likelihood distribution of filters and meanwhile the tracking mechanism is also improved,and it can adaptively adjust number of working sensor nodes in dynamic cluster according to the tracking precision. The simulation result shows that the proposed improved algorithm not only improve tracking quality but also reduces energy consumption and prolongs lifetime of network.