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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/27955

Title: Optimizing communication and computation for multi-UAV information gathering applications
Authors: Thammawichai, Mason
Baliyarasimhuni, Sujit P.
Kerrigan, Eric C.
de Sousa, Joao Borges
Keywords: Unmanned aerial vehicles
Multi-agent systems
Cooperative systems
Optimal control
Issue Date: 2017
Publisher: © Institute of Electrical and Electronics Engineers (IEEE)
Citation: THAMMAWICHAI, M., 2017. Optimizing communication and computation for multi-UAV information gathering applications. IEEE Transactions on Aerospace and Electronic Systems, 54(2), pp. 601-615.
Abstract: Typical mobile agent networks, such as multi-UAV systems, are constrained by limited resources: energy, computing power, memory and communication bandwidth. In particular, limited energy affects system performance directly, such as system lifetime. Moreover, it has been demonstrated experimentally in the wireless sensor network literature that the total energy consumption is often dominated by the communication cost, i.e. the computational and the sensing energy are small compared to the communication energy consumption. For this reason, the lifetime of the network can be extended significantly by minimizing the communication distance as well as the amount of communication data, at the expense of increasing computational cost. In this work, we aim at attaining an optimal trade-off between the communication and the computational energy. Specifically, we propose a mixed-integer optimization formulation for a multihop hierarchical clustering-based self-organizing UAV network incorporating data aggregation, to obtain an energy-efficient information routing scheme. The proposed framework is tested on two applications, namely target tracking and area mapping. Based on simulation results, our method can significantly save energy compared to a baseline strategy, where there is no data aggregation and clustering scheme.
Description: (c) 2017 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.
Version: Accepted for publication
DOI: 10.1109/TAES.2017.2761139
URI: https://dspace.lboro.ac.uk/2134/27955
Publisher Link: https://doi.org/10.1109/TAES.2017.2761139
ISSN: 0018-9251
Appears in Collections:Published Articles (Aeronautical and Automotive Engineering)

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