Go to:
Logótipo
Você está em: Start > Publications > View > Optimizing Communication and Computation for Multi-UAV Information Gathering Applications
Map of Premises
Principal
Publication

Optimizing Communication and Computation for Multi-UAV Information Gathering Applications

Title
Optimizing Communication and Computation for Multi-UAV Information Gathering Applications
Type
Article in International Scientific Journal
Year
2018-10-09
Authors
Mason Thammawichai
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Sujit P. Baliyarasimhuni
(Author)
Other
View Personal Page You do not have permissions to view the institutional email. Search for Participant Publications Without AUTHENTICUS Without ORCID
Eric C. Kerrigan
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
João B. Sousa
(Author)
FEUP
View Personal Page You do not have permissions to view the institutional email. Search for Participant Publications View Authenticus page Without ORCID
Journal
Vol. 54 No. 2
Pages: 601-615
ISSN: 0018-9251
Publisher: IEEE
Other information
Authenticus ID: P-00N-WJG
Abstract (EN): 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.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 15
Documents
We could not find any documents associated to the publication.
Related Publications

Of the same journal

UAV Shore-to-Ship Parcel Delivery: Gust-Aware Trajectory Planning (2024)
Article in International Scientific Journal
Pensado, EA; López, FV; Jorge, HG; Pinto, AM
Optimal Rendezvous Trajectory for Unmanned Aerial-Ground Vehicles (2018)
Article in International Scientific Journal
Alessandro Rucco; António Pedro Aguiar; Sujit Baliyarasimhuni; João Borges de Sousa; Fernando Lobo Pereira
Recommend this page Top
Copyright 1996-2025 © Faculdade de Medicina Dentária da Universidade do Porto  I Terms and Conditions  I Acessibility  I Index A-Z
Page created on: 2025-08-10 at 06:31:12 | Privacy Policy | Personal Data Protection Policy | Whistleblowing | Electronic Yellow Book