Abstract
Tracking a mobile target, which aims to timely monitor the invasion of specific target, is one of the most prominent applications in wireless sensor networks (WSNs). Traditional tracking methods in WSNs only based on static sensor nodes (SNs) have several critical problems. For example, to void the loss of mobile target, many SNs must be active to track the target in all possible directions, resulting in excessive energy consumption. Additionally, when entering coverage holes in the monitoring area, the mobile target may be missing and then its state is unknown during this period. To tackle these problems, in this paper, a few mobile sensor nodes (MNs) are introduced to cooperate with SNs to form a hybrid WSN due to their stronger abilities and less constrained energy. Then, we propose a valid target tracking scheme for hybrid WSNs to dynamically schedule the MNs and SNs. Moreover, a novel loss recovery mechanism is proposed to find the lost target and recover the tracking with fewer SNs awakened. Furthermore, to improve the robustness and accuracy of the recovery mechanism, an adaptive unscented Kalman filter (AUKF) algorithm is raised to dynamically adjust the process noise covariance. Simulation results demonstrate that our tracking scheme for maneuvering target in hybrid WSNs can not only track the target effectively even if the target is lost but also maintain an excellent accuracy and robustness with fewer activated nodes.
Highlights
A Novel Loss Recovery and Tracking Scheme for Maneuvering Target in Hybrid Wireless sensor networks (WSNs)Hanwang Qian 1,2 , Pengcheng Fu 1,2 , Baoqing Li 1 , Jianpo Liu 1 and Xiaobing Yuan 1, *
Wireless sensor networks (WSNs) have recently emerged as an increasingly significant area of research owing to their wide range of applications, such as environmental monitoring, security surveillance, industry control, and intrusion detection [1,2,3,4]
We focus on tracking the maneuvering target in hybrid WSNs and put forward a novel loss recovery mechanism aiming at the situations that the target moves with time-varying speed and enters coverage holes in the deployment monitoring area
Summary
Hanwang Qian 1,2 , Pengcheng Fu 1,2 , Baoqing Li 1 , Jianpo Liu 1 and Xiaobing Yuan 1, *. Science and Technology on Microsystem Laboratory, Shanghai Institute of Microsystem and Information. Received: 26 December 2017; Accepted: 23 January 2018; Published: 25 January 2018
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