Paper Info
Title
An Effective and Robust Decentralized Target Tracking Scheme in Wireless Camera Sensor Networks.
Abstract
In this paper, we propose an effective and robust decentralized tracking scheme based on the square root cubature information filter (SRCIF) to balance the energy consumption and tracking accuracy in wireless camera sensor networks (WCNs). More specifically, regarding the characteristics and constraints of camera nodes in WCNs, some special mechanisms are put forward and integrated in this tracking scheme. First, a decentralized tracking approach is adopted so that the tracking can be implemented energy-efficiently and steadily. Subsequently, task cluster nodes are dynamically selected by adopting a greedy on-line decision approach based on the defined contribution decision (CD) considering the limited energy of camera nodes. Additionally, we design an efficient cluster head (CH) selection mechanism that casts such selection problem as an optimization problem based on the remaining energy and distance-to-target. Finally, we also perform analysis on the target detection probability when selecting the task cluster nodes and their CH, owing to the directional sensing and observation limitations in field of view (FOV) of camera nodes in WCNs. From simulation results, the proposed tracking scheme shows an obvious improvement in balancing the energy consumption and tracking accuracy over the existing methods.
Year
DOI
Venue
2017
10.3390/s17030639
SENSORS
Keywords
Field
DocType
target tracking,wireless camera sensor networks,information filter,camera selection,decentralized,sensor fusion
Field of view,Computer vision,Sensor fusion,Artificial intelligence,Engineering,Square root,Energy consumption,Optimization problem,Wireless camera sensor networks,Information filtering system
Journal
Volume
Issue
Citations 
17
3.0
4
PageRank 
References 
Authors
0.40
19
6
Name
Order
Citations
PageRank
Pengcheng Fu1131.64
Yongbo Cheng271.14
Hongying Tang372.83
Baoqing Li411420.13
Jun Pei540.40
Xiaobing Yuan6367.46