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Path planning for aerial sensor networks with connectivity constraints
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China.
2017 (English)In: 2017 IEEE International Conference on Communications (ICC), IEEE, 2017Conference paper, Published paper (Refereed)
Abstract [en]

Wireless sensor networks (WSN) based on unmanned aerial vehicles (UAV) are ideal platforms for monitoring dynamics over larger service area. On the other hand, aerial sensor networks (ASNs) are often required to be connected with a command center for sending data and receiving control messages in real time. In this paper, we study the problem of path planning for ASNs with connectivity constraints. The primary goal of path planning is driving UAVs to locations where the most informative measurements can be collected. Meanwhile, the worst link's capacity is assured to be greater than a pre-defined requirement. We proposed a solution for the path planning problem and it consists of two modules: network coordinator (NC) and motion controller (MC). The NC manages the topology of relay-assisted wireless communication networks. For the design of MC, we compare two motion strategies: maximum entropy and maximum mutual information. The simulation results show that our proposed solution achieves accurate signal reconstruction while maintaining the connectivity. We conclude that it's important to enable UAV-to-UAV communications for future ASN-based applications.

Place, publisher, year, edition, pages
IEEE, 2017.
Series
IEEE International Conference on Communications, E-ISSN 1550-3607
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:uu:diva-336352DOI: 10.1109/ICC.2017.7996434ISBN: 978-1-4673-8999-0 (electronic)OAI: oai:DiVA.org:uu-336352DiVA, id: diva2:1165798
Conference
IEEE International Conference on Communications (ICC), Paris, France, May 21-25, 2017
Funder
VINNOVA, 2015-00347Available from: 2017-07-31 Created: 2017-12-13 Last updated: 2018-05-17Bibliographically approved

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Liu, XiumingNgai, Edith

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