Maintaining Connectivity in UAV Swarm Sensing

WTL Teacy, J Nie, S McClean, G Parr

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

33 Citations (Scopus)
82 Downloads (Pure)

Abstract

In many applications, Unmanned Aerial Vehicles (UAVs) provide an indispensable platform for gathering information about the situation on the ground. However, to maximise information gained about the environment, such platforms require increased autonomy to coordinate the actions of multiple UAVs. This has led to the development of flight planning and coordination algorithms designed to maximise information gain during sensing missions. However, these have so far neglected the need to maintain wireless network connectivity. In this paper, we address this limitation by enhancing an existing multi-UAV planning algorithm with two new features that together make a significant contribution to the state-of-the-art: (1) we incorporate an on-line learning procedure that enables UAVs to adapt to the radio propagation characteristics of their environment, and (2) we integrate flight path and network routing decisions, so that modelling uncertainty and the affect of UAV position on network performance is taken into account.
Original languageEnglish
Title of host publicationUnknown Host Publication
PublisherIEEE
Pages1771-1776
Number of pages6
DOIs
Publication statusPublished - 6 Dec 2010
EventProceedings of the 1st International Workshop on Wireless Networking for Unmanned Aerial Vehicles - Miami, USA
Duration: 6 Dec 2010 → …

Workshop

WorkshopProceedings of the 1st International Workshop on Wireless Networking for Unmanned Aerial Vehicles
Period6/12/10 → …

Bibliographical note

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