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Optimizing communication and computation for multi-UAV information gathering applications

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Title: Optimizing communication and computation for multi-UAV information gathering applications
Authors: Thammawichai, M
Baliyarasimhuni, SP
Kerrigan, EC
Sousa, JB
Item Type: Journal Article
Abstract: Typical mobile agent networks, such as multi-unmanned aerial vehicle (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 paper, we aim at attaining an optimal tradeoff 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.
Issue Date: 1-Apr-2018
Date of Acceptance: 7-Sep-2017
URI: http://hdl.handle.net/10044/1/69528
DOI: https://dx.doi.org/10.1109/TAES.2017.2761139
ISSN: 0018-9251
Publisher: Institute of Electrical and Electronics Engineers
Start Page: 601
End Page: 615
Journal / Book Title: IEEE Transactions on Aerospace and Electronic Systems
Volume: 54
Issue: 2
Copyright Statement: © 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.
Keywords: Science & Technology
Technology
Engineering, Aerospace
Engineering, Electrical & Electronic
Telecommunications
Engineering
UNMANNED AERIAL VEHICLES
ENERGY-EFFICIENT
TARGET TRACKING
SENSOR NETWORKS
ALGORITHMS
MANAGEMENT
LIFETIME
WIRELESS SENSOR NETWORKS
FLOW
0906 Electrical and Electronic Engineering
0901 Aerospace Engineering
0909 Geomatic Engineering
Aerospace & Aeronautics
Publication Status: Published
Online Publication Date: 2017-10-09
Appears in Collections:Electrical and Electronic Engineering



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