CASCADING TARGET TRACKING CONTROL IN WIRELESS CAMERA SENSOR AND ACTUATOR NETWORKS
CASCADING TARGET TRACKING CONTROL IN WIRELESS CAMERA SENSOR AND ACTUATOR NETWORKS
复制标题
无线相机传感器和执行器网络中的级联目标跟踪控制
DOI：
10.1002/asjc.1525
复制
发表时间：
2017-07-01
影响因子：
2.4
通讯作者：
Chen, Yonghong
中科院分区：
文献类型：
--
作者：
Wang, Tian;Peng, Zhen;Chen, Yonghong
近年来，摄像机传感器网络（CSNs）发展迅速，但现有的研究方法大多基于同构的CSNs，成本低，难以从传统的无线传感器网络（WSNs）进化而来。研究了由大量普通静态传感器和少量移动的摄像机传感器组成的异构无线摄像机传感器和执行器网络中的目标跟踪问题。其目标是控制摄像头传感器可靠地跟踪目标，并最大限度地提高有效监控时间和缩短移动距离。我们首先设计了一种新的跟踪算法，用于跟踪一个目标，其中多个摄像机传感器相互合作，以级联方式跟踪目标。此外，考虑到多目标的跟踪性能和负载平衡，该级联算法被扩展到多目标场景。大量的仿真结果表明，所提出的控制算法的有效性进行了验证，这表明他们可以实现较高的监测效率和相对较短的移动距离。
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.