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Cascading Target Tracking Control in Wireless Camera Sensor and Actuator Networks
Author(s) -
Wang Tian,
Peng Zhen,
Xu Wenzheng,
Liang Junbin,
Wang Guojun,
Tian Hui,
Cai Yiqiao,
Chen Yonghong
Publication year - 2017
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.1525
Subject(s) - tracking (education) , wireless sensor network , computer science , actuator , real time computing , track (disk drive) , wireless , key distribution in wireless sensor networks , image sensor , artificial intelligence , computer vision , wireless network , computer network , telecommunications , psychology , pedagogy , operating system
Recent years have witnessed the fast development of camera sensor networks (CSNs), but most of the existing research methods are based on homogeneous CSNs, which are not cost‐effective and are hard to evolve from traditional wireless sensor networks (WSNs). In this paper, we focus on the target tracking problem in heterogeneous wireless camera sensor and actuator networks which consists of a large number of common static sensors and a small number of mobile camera sensors. The objective is to control camera sensors to track targets dependably with maximized effective monitoring time and short moving distance. We first design a novel tracking algorithm for tracking one target where multiple camera sensors cooperate with each other to track the target in a cascading scheme. Moreover, this cascading algorithm is extended for a multi‐target scenario in consideration of tracking performance and loading balance for multiple targets. The effectiveness of proposed control algorithms is validated by extensive simulation results, which show that they can achieve high monitoring efficiency and comparatively short moving distance.