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Sensors 2018, 18(2), 341; doi:10.3390/s18020341

A Novel Loss Recovery and Tracking Scheme for Maneuvering Target in Hybrid WSNs

1
Science and Technology on Microsystem Laboratory, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 201800, China
2
University of Chinese Academy of Sciences, Beijing 100049, China
*
Author to whom correspondence should be addressed.
Received: 26 December 2017 / Revised: 18 January 2018 / Accepted: 23 January 2018 / Published: 25 January 2018
(This article belongs to the Section Sensor Networks)
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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. View Full-Text
Keywords: target tracking; hybrid wireless sensor networks; target recovery; data fusion; dynamic cluster scheduling target tracking; hybrid wireless sensor networks; target recovery; data fusion; dynamic cluster scheduling
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Qian, H.; Fu, P.; Li, B.; Liu, J.; Yuan, X. A Novel Loss Recovery and Tracking Scheme for Maneuvering Target in Hybrid WSNs. Sensors 2018, 18, 341.

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