Nature of Computation and Communication. Second International Conference, ICTCC 2016, Rach Gia, Vietnam, March 17-18, 2016, Revised Selected Papers

Research Article

An Hierarchical Scheduled Algorithm for Data Dissemination in a Brown Planthopper Surveillance Network

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  • @INPROCEEDINGS{10.1007/978-3-319-46909-6_23,
        author={Bao Lam and Tuyen Truong and Ky Nguyen and Hiep Huynh and Bernard Pottier},
        title={An Hierarchical Scheduled Algorithm for Data Dissemination in a Brown Planthopper Surveillance Network},
        proceedings={Nature of Computation and Communication. Second International Conference, ICTCC 2016, Rach Gia, Vietnam, March 17-18, 2016, Revised Selected Papers},
        proceedings_a={ICTCC},
        year={2017},
        month={1},
        keywords={BPHSUN Brown planthopper surveillance network BPH WSN Timer},
        doi={10.1007/978-3-319-46909-6_23}
    }
    
  • Bao Lam
    Tuyen Truong
    Ky Nguyen
    Hiep Huynh
    Bernard Pottier
    Year: 2017
    An Hierarchical Scheduled Algorithm for Data Dissemination in a Brown Planthopper Surveillance Network
    ICTCC
    Springer
    DOI: 10.1007/978-3-319-46909-6_23
Bao Lam1,*, Tuyen Truong1,*, Ky Nguyen2,*, Hiep Huynh3,*, Bernard Pottier1,*
  • 1: Université de Bretagne Occidentale, LAB-STICC, UMR CNRS 6285
  • 2: Can Tho University of Technology
  • 3: Can Tho University
*Contact email: bao-hoai.lam@univ-brest.fr, tuyen-phong.truong@univ-brest.fr, nmky@ctuet.edu.vn, hxhiep@ctu.edu.vn, pottier@univ-brest.fr

Abstract

The paper proposes a new approach to model the hierarchical structure and implement a scheduled algorithm for disseminating data of a brown planthopper surveillance network based on Wireless Sensor Network (WSN) approach. In the hierarchical model, light trap sensor nodes in the same province compose a sub network at level 1 while sink nodes of these networks compose another sub network at level 0. Thanks to this structure, there are 2 types of data dissemination: local at sub networks at level 1 and cluster at sub network at level 0. These behaviors are monitored by a timer which calculates the next execution time for each node. The model and its algorithms are simulated using data collections of the brown planthopper surveillance network in Mekong Delta, especially in Cantho, Angiang, Dongthap - 3 typical rice provinces in the delta. Structure of the model is suitable for the hierarchical management policies of a light trap network in a large region and the role of WSN in collecting data is emerged via the simulation.