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Self-Organization Drone-Based Unmanned Aerial Vehicles (UAV) Networks

Yang, Ting, Foh, Chuan, Heliot, Fabien, Leow, Chee Yen and Chatzimisios, Periklis (2019) Self-Organization Drone-Based Unmanned Aerial Vehicles (UAV) Networks In: ICC 2019 - 2019 IEEE International Conference on Communications (ICC), 2019-05-20-201905-24, Shanghai, China.

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Abstract

Drone networks offer rapid network deployment to areas that can pose access difficulty. This paper investigates the deployment of multi-hop drone-based unmanned aerial vehicles networks with a focus on the self-organization aspect. When rescue drones carry out their rescue operations which may fly faraway from the gateway, relay drones are autonomously deployed to maintain connectivity. We study the multiple dedicated connections where each rescue drone is connected to the gateway via dedicated relay drones. We show that this approach lacks sharing of relay drones and thus requires more relay drones. We then propose a centralized greedy algorithm and a distributed solution to significantly reduce the number of relay drones. We show that while the distributed self-organized drones (DSOD) solution requires a slightly higher number of relay drones than the greedy algorithm, it eliminates the need for global message exchange which makes it attractive for practical use.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Yang, Tingting.yang@surrey.ac.uk
Foh, Chuanc.foh@surrey.ac.uk
Heliot, FabienF.Heliot@surrey.ac.uk
Leow, Chee Yen
Chatzimisios, Periklis
Date : 15 July 2019
DOI : 10.1109/ICC.2019.8761876
Copyright Disclaimer : © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Depositing User : Diane Maxfield
Date Deposited : 13 Sep 2019 11:20
Last Modified : 13 Sep 2019 11:20
URI: http://epubs.surrey.ac.uk/id/eprint/852614

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