期刊论文详细信息
Mathematical and Computational Applications
Energy Efficient Target Tracking with Particle Filtering Techmique in Wireless Sensor Networks
Alaybeyoglu, Aysegul1 
关键词: Wireless Sensor Networks;    Target Tracking;    Particle Filtering;   
DOI  :  10.3390/mca16040809
学科分类:计算数学
来源: mdpi
PDF
【 摘 要 】

In this study, a new target tracking algorithm is proposed for wireless sensor networks. The aim of the algorithm is to decrease energy consumption of the system by decreasing the ratio of target misses. Next location of the target is predicted by using Particle Filtering (PF) technique which aims to represent the posterior density function by a set of random samples with associated weights. Nodes are deployed according to the hexagon shaped network topology in which each of the hexagons represents a cluster with a predetermined leader node. In order to decrease the ratio of target misses, nodes that are closer to the target's predicted location are woken up to make them ready to detect the target. This increases the probability of detecting the target by one of the neighboring hexagons when the target makes sudden turns or unexpected movements. Tracking performance of the proposed algorithm is evaluated by comparing with KNearest Cluster Tracking (KNCT), Wakening Based Target Tracking Algorithm (WBTA)[10] and Generic Static Tracking Approach (GSTA) in terms of miss ratio and energy consumption metrics.

【 授权许可】

CC BY   

【 预 览 】
附件列表
Files Size Format View
RO201902028088349ZK.pdf 469KB PDF download
  文献评价指标  
  下载次数:12次 浏览次数:18次