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Optimal Quantization Scheme for Data-Efficient Target Tracking via UWSNs Using Quantized Measurements
Open AccessArticle

Node Depth Adjustment Based Target Tracking in UWSNs Using Improved Harmony Search

1
State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China
2
College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
3
School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China
*
Author to whom correspondence should be addressed.
Sensors 2017, 17(12), 2807; https://doi.org/10.3390/s17122807
Received: 4 November 2017 / Revised: 28 November 2017 / Accepted: 29 November 2017 / Published: 4 December 2017
(This article belongs to the Special Issue Advances and Challenges in Underwater Sensor Networks)
Underwater wireless sensor networks (UWSNs) can provide a promising solution to underwater target tracking. Due to the limited computation and bandwidth resources, only a small part of nodes are selected to track the target at each interval. How to improve tracking accuracy with a small number of nodes is a key problem. In recent years, a node depth adjustment system has been developed and applied to issues of network deployment and routing protocol. As far as we know, all existing tracking schemes keep underwater nodes static or moving with water flow, and node depth adjustment has not been utilized for underwater target tracking yet. This paper studies node depth adjustment method for target tracking in UWSNs. Firstly, since a Fisher Information Matrix (FIM) can quantify the estimation accuracy, its relation to node depth is derived as a metric. Secondly, we formulate the node depth adjustment as an optimization problem to determine moving depth of activated node, under the constraint of moving range, the value of FIM is used as objective function, which is aimed to be minimized over moving distance of nodes. Thirdly, to efficiently solve the optimization problem, an improved Harmony Search (HS) algorithm is proposed, in which the generating probability is modified to improve searching speed and accuracy. Finally, simulation results are presented to verify performance of our scheme. View Full-Text
Keywords: target tracking; node depth adjustment; improved harmony search; underwater wireless sensor networks target tracking; node depth adjustment; improved harmony search; underwater wireless sensor networks
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Liu, M.; Zhang, D.; Zhang, S.; Zhang, Q. Node Depth Adjustment Based Target Tracking in UWSNs Using Improved Harmony Search. Sensors 2017, 17, 2807.

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