RSS-based distance measurement in Underwater Acoustic Sensor Networks: An application of the Lambert W function

Fast and accurate distance measurement is crucial for target tracking and node localization in Wireless Sensor Networks. For short-range Underwater Acoustic Sensor Networks (UASNs), received signal strength (RSS) can give distance between acoustic devices. An extensive study on the application of th...

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Hauptverfasser: Hosseini, M, Chizari, H, Chai Kok Soon, Budiarto, R
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Chizari, H
Chai Kok Soon
Budiarto, R
description Fast and accurate distance measurement is crucial for target tracking and node localization in Wireless Sensor Networks. For short-range Underwater Acoustic Sensor Networks (UASNs), received signal strength (RSS) can give distance between acoustic devices. An extensive study on the application of the Lambert W function over RSS for distance estimation in short-range UASNs shows that it can be done accurately in as few as 4 iterations. The method is mathematically derived in this paper and the accuracy verified with Matlab simulation.
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subjects Accuracy
Acoustic distance measurement
Distance measurement
Equations
Lambert Function
Mathematical model
Propagation losses
Received Signal Strength
Synchronization
Underwater acoustic communication
Underwater acoustics
title RSS-based distance measurement in Underwater Acoustic Sensor Networks: An application of the Lambert W function
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