Modeling a Surveillance Network Based on Unit Disk Graph Technique - Application for Monitoring the Invasion of Insects in Mekong Delta Region
Abstract: This paper aims at introducing a novel general simulation model named Unit Disk Graph-based Surveillance Network Model (USNM) for an ecosystem. This model can be applied for multiple types of surveillance network, supported by two main techniques: (1)Unit Disk Graph and (2)clustering based on the correlation measures. USNM is a part of a bigger multi-agent system, where the observed objects can be implemented as a system dynamics. Three main agents of USNM are vertices, edges and graph/sub-graphs. Furthermore, we also introduce the Brown plant hopper Surveillance Network Model (BSNM), a concrete case of USNM. The simulation for BSNM is applied for three provinces of the Mekong Delta region, Vietnam.
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