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.
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Acknowledgments
The work of this paper was in the scope of the “OBSNET - Optimizing the Brown Planthopper surveillance network using automatic light traps in the Mekong Delta region” project of the Ministry of Education and Training, Vietnam. The first author was funded by the program 911 of Ministry of Education and Training, Vietnam.
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Lam, B.H., Truong, T.P., Nguyen, K.M., Huynh, H.X., Pottier, B. (2016). An Hierarchical Scheduled Algorithm for Data Dissemination in a Brown Planthopper Surveillance Network. In: Vinh, P., Barolli, L. (eds) Nature of Computation and Communication. ICTCC 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 168. Springer, Cham. https://doi.org/10.1007/978-3-319-46909-6_23
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DOI: https://doi.org/10.1007/978-3-319-46909-6_23
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