A Distributed Service-Matching Coverage Via Heterogeneous Agents

We propose a distributed deployment solution for a group of networked agents that should provide a service for a large set of targets, which densely populate a finite area. The agents are heterogeneous in the sense that their quality of service (QoS), modeled as spatial Gaussian distribution, is dif...

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Vydáno v:	IEEE robotics and automation letters Ročník 7; číslo 2; s. 4400 - 4407
Hlavní autoři:	Chung, Yi-fan, Kia, Solmaz S.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 01.04.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Clusters Density distribution distributed sensor deployment distributed task assignment Event detection Gaussian distribution Gaussian mixture model Kullback-Leibler divergence Mass transport Monitoring Multi-sensor deployment Normal distribution Operations research Optimization Partitioning algorithms Probabilistic models Quality of service Sensors Subgroups Wireless communication
ISSN:	2377-3766, 2377-3766
On-line přístup:	Získat plný text
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