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

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

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 ex...

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Bibliographic Details
Main Authors: Huayan Chen, Senlin Zhang, Meiqin Liu, Qunfei Zhang
Format: Article
Language:English
Published: MDPI AG 2017-04-01
Series:Sensors
Subjects:
artificial measurements
energy-efficiency
target tracking
underwater wireless sensor networks
Online Access:http://www.mdpi.com/1424-8220/17/5/971

Internet

http://www.mdpi.com/1424-8220/17/5/971

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