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Maintaining Connectivity in UAV Swarm Sensing

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Teacy, WTL, Nie, J, McClean, S and Parr, G (2010) Maintaining Connectivity in UAV Swarm Sensing. In: Proceedings of the 1st International Workshop on Wireless Networking for Unmanned Aerial Vehicles, Miami, USA. IEEE. 6 pp. [Conference contribution]

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URL: http://dx.doi.org/10.1109/GLOCOMW.2010.5700246

DOI: 10.1109/GLOCOMW.2010.5700246

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.

Item Type:Conference contribution (Paper)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Information Engineering
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Information and Communication Engineering
ID Code:18646
Deposited By:Dr Luke Teacy
Deposited On:27 May 2011 15:07
Last Modified:24 Jun 2011 14:21

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