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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Veröffentlicht in:	IEEE robotics and automation letters 2022-04, Vol.7 (2), p.4400-4407
Hauptverfasser:	Chung, Yi-fan, Kia, Solmaz S.
Format:	Artikel
Sprache:	eng
Schlagworte:	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
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