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The Allocation in Cognitive Radio Network: Combined Genetic Algorithm and ON/OFF Primary User Activity Models Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Optimal Beaconing Policy for Tactical Unmanned Aerial Vehicles

Authors : Sara Koulali, Mostafa Azizi, Essaïd Sabir, Rim Koulali

Published in: Advances in Ubiquitous Networking 2

Publisher: Springer Nature Singapore

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Abstract

Unmanned Aerial Vehicles (UAV) were initially developed for military monitoring and surveillance tasks. However, they recently found several interesting applications in the civilian domain. One promising application is to use UAV for military operations behind enmy lines. Rapid deployment along with limited operating costs are key factors that boost the development of UAVs for both military and civilian utilizations. UAVs are battery-powered which makes energy consumption optimization a critical issue for acceptable performance, high availability and an economically viable UAVs deployment. In this paper, we focus on tuning the beaconing probability as an efficient mean of energy consumption optimization. The conducted study provides markov decision process perspective of the problem. Also, we conduct extensive numerical investigations to assist our claims about the energy efficiency of the optimal beaconing policy.

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Metadata
Title
Optimal Beaconing Policy for Tactical Unmanned Aerial Vehicles
Authors
Sara Koulali
Mostafa Azizi
Essaïd Sabir
Rim Koulali
Copyright Year
2017
Publisher
Springer Nature Singapore
Book
Advances in Ubiquitous Networking 2

Print ISBN: 978-981-10-1626-4

Electronic ISBN: 978-981-10-1627-1

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-981-10-1627-1_52