Modeling the brown plant hoppers surveillance network using agent-based model: application for the Mekong Delta region

  • Authors:
  • Viet Xuan Truong;Alexis Drogoul;Hiep Xuan Huynh;Minh Ngoc Le

  • Affiliations:
  • UMI UMMISCO-IRD/UPMC, avenue Henri Varagnat, Bondy Cedex, France;UMI UMMISCO-IRD/UPMC, avenue Henri Varagnat, Bondy Cedex, France;Can Tho University, Cantho City, Vietnam;Faculty of Computer Science & Engineering, HCMUT, HoChiMinh City, Vietnam

  • Venue:
  • Proceedings of the Second Symposium on Information and Communication Technology
  • Year:
  • 2011

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Abstract

This paper aims at modeling a brown plant hopper (BPH) surveillance network, called BPH surveillance network model (BSNM). In this model, we apply the Unit Disk Graph (UDG) technique to setup a graph with multiple surveillance nodes (light traps). An agent-based model (ABM) is built to model some necessary environmental and ecological factors, in which, the model contains two smaller models called the Environmental and Ecological Model (EEM) and the Surveillance Network Model (SNM). The key ideas of the surveillance network concentrate on the density estimations based on UDG technique and the up-scale aggregation via multiple levels of spatial regions. The simulation is applied for the province Dong Thap, a typical province in region of Mekong Delta of Vietnam.