Intelligent Wireless Sensor Network Sensor Selection and Clustering for Tracking Unmanned Aerial Vehicles

Intelligent Wireless Sensor Network Sensor Selection and Clustering for Tracking Unmanned Aerial Vehicles

Sensor selection is a vital part of Wireless Sensor Network (WSN) management. This becomes of increased importance when considering the use of low-cost, bearing-only sensor nodes for the tracking of Unmanned Aerial Vehicles (UAVs). However, traditional techniques commonly form excessively large sens...

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Bibliographic Details
Main Authors: Edward-Joseph Cefai, Matthew Coombes, Daniel O’Boy
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Sensors
Subjects:
Wireless Sensor Networks
Unmanned Aerial Vehicle
sensor selection
predicted posterior distributions
Extended Kalman Filter
Online Access:https://www.mdpi.com/1424-8220/25/2/402
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