An Effective and Robust Decentralized Target Tracking Scheme in Wireless Camera Sensor Networks.
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.
Science and Technology on Microsystem Laboratory, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 201800, China. fupc@mail.sim.ac.cn.|University of Chinese Academy of Sciences, Beijing 100049, China. fupc@mail.sim.ac.cn.
Pengcheng
P
Fu
Science and Technology on Microsystem Laboratory, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 201800, China. cyb@mail.sim.ac.cn.|University of Chinese Academy of Sciences, Beijing 100049, China. cyb@mail.sim.ac.cn.
Yongbo
Y
Cheng
Science and Technology on Microsystem Laboratory, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 201800, China. tanghy@mail.sim.ac.cn.
Hongying
H
Tang
Science and Technology on Microsystem Laboratory, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 201800, China. libq@mail.sim.ac.cn.
Baoqing
B
Li
Science and Technology on Microsystem Laboratory, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 201800, China. peijun@mail.sim.ac.cn.
Jun
J
Pei
Science and Technology on Microsystem Laboratory, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 201800, China. sinowsn@mail.sim.ac.cn.
Xiaobing
X
Yuan
camera selection; decentralized; information filter; sensor fusion; target tracking; wireless camera sensor networks