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 Cefai, Matthew Coombes, Daniel O'Boy
Format:	Default Article
Published:	2025
Subjects:	Ecology Analytical chemistry Engineering Electrical engineering Electronics, sensors and digital hardware Environmental sciences Environmental management Distributed computing and systems software Analytical Chemistry Wireless sensor networks Unmanned aerial vehicle Sensor selection Predicted posterior distributions Extended Kalman Filter
Online Access:	https://hdl.handle.net/2134/28202663.v1
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