Next Article in Journal
Time-Aware Service Ranking Prediction in the Internet of Things Environment
Next Article in Special Issue
A Double Rate Localization Algorithm with One Anchor for Multi-Hop Underwater Acoustic Networks
Previous Article in Journal
Horizontal Directional Drilling-Length Detection Technology While Drilling Based on Bi-Electro-Magnetic Sensing
Previous Article in Special Issue
Energy-Efficient Channel Coding Strategy for Underwater Acoustic Networks
Article Menu
Issue 5 (May) cover image

Export Article

Open AccessArticle
Sensors 2017, 17(5), 971; doi:10.3390/s17050971

An Artificial Measurements-Based Adaptive Filter for Energy-Efficient Target Tracking via Underwater Wireless Sensor Networks

1
State Key Laboratory of Industrial Control Technology, 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
This article is an expanded version of an earlier conference paper: Zhang, S.; Chen, H.; Liu, M.; Zhang, Q. Artificial Measurements Based Filter for Energy-Efficient Target Tracking in Underwater Wireless Sensor Networks. In Proceedings of the 2016 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), Hong Kong, China, 5–8 August 2016.
*
Author to whom correspondence should be addressed.
Academic Editor: Jaime Lloret Mauri
Received: 21 March 2017 / Revised: 19 April 2017 / Accepted: 23 April 2017 / Published: 27 April 2017
(This article belongs to the Special Issue Advances and Challenges in Underwater Sensor Networks)
View Full-Text   |   Download PDF [3256 KB, uploaded 27 April 2017]   |  

Abstract

We study the problem of energy-efficient target tracking in underwater wireless sensor networks (UWSNs). Since sensors of UWSNs are battery-powered, it is impracticable to replace the batteries when exhausted. This means that the battery life affects the lifetime of the whole network. In order to extend the network lifetime, it is worth reducing the energy consumption on the premise of sufficient tracking accuracy. This paper proposes an energy-efficient filter that implements the tradeoff between communication cost and tracking accuracy. Under the distributed fusion framework, local sensors should not send their weak information to the fusion center if their measurement residuals are smaller than the pre-given threshold. In order to guarantee the target tracking accuracy, artificial measurements are generated to compensate for those unsent real measurements. Then, an adaptive scheme is derived to take full advantages of the artificial measurements-based filter in terms of energy-efficiency. Furthermore, a computationally efficient optimal sensor selection scheme is proposed to improve tracking accuracy on the premise of employing the same number of sensors. Simulation demonstrates that our scheme has superior advantages in the tradeoff between communication cost and tracking accuracy. It saves much energy while loosing little tracking accuracy or improves tracking performance with less additional energy cost. View Full-Text
Keywords: artificial measurements; energy-efficiency; target tracking; underwater wireless sensor networks artificial measurements; energy-efficiency; target tracking; underwater wireless sensor networks
Figures

Figure 1

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).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Chen, H.; Zhang, S.; Liu, M.; Zhang, Q. An Artificial Measurements-Based Adaptive Filter for Energy-Efficient Target Tracking via Underwater Wireless Sensor Networks . Sensors 2017, 17, 971.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top