Optimizing Communication and Computation for Multi-UAV Information Gathering Applications

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 dem...

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Veröffentlicht in:	IEEE transactions on aerospace and electronic systems Jg. 54; H. 2; S. 601 - 615
Hauptverfasser:	Thammawichai, Mason, Baliyarasimhuni, Sujit P., Kerrigan, Eric C., Sousa, Joao B.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.04.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Agents (artificial intelligence) Agglomeration Base stations Cluster analysis Clustering Communication Communications systems Computer memory Computer simulation Cooperative systems Data aggregation Data management Energy conservation Energy consumption multiagent systems optimal control Optimization Remote sensors Routing Sensors Target tracking Tracking Unmanned aerial vehicles unmanned aerial vehicles (UAVs) Wireless sensor networks
ISSN:	0018-9251, 1557-9603
Online-Zugang:	Volltext
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