A Synchronous Network for Brown Planthopper Surveillance Based on Hexagonal Cellular Automata

  • Bao Hoai LamEmail author
  • Huu-Hung Huynh
  • Hiep Xuan Huynh
  • Bernard Pottier
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 168)


The paper proposes a new approach to model the Brown Planthopper surveillance as a synchronous network, network consists of components running simultaneously, based on hexagonal cellular automata. In the surveillance network, working space of hoppers is divided as a hexagonal cell system of which cell is a node of a graph G and two neighborhood cells compose an edge of the graph. Sensor nodes are deployed at some cells to measure surrounding conditions as well as hopper density. Simulation results of the hopper surveillance network model with data collection in Cantho, Mekong Delta may provide some useful information in managing pest insects as well as in sensing and collecting data from observation wireless sensor network.


Synchronous network Hexagonal cellular automata Brown Planthopper BPHSYN 



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.


  1. 1.
    Conrad, K.F., Fox, R., Woiwod, I.P.: Monitoring biodiversity: measuring long-term changes in insect abundance, Insect conservation biology, pp. 203–225, ISBN 9781845932541. Cabi Publisher (2007)Google Scholar
  2. 2.
    Woiwod, I.P., Harrington, R.: Flying in the face of change: The Rothamsted Insect Survey. In: Leigh, R.A., Johnston, A.E. (eds.) Long-term Experiments in Agricultural and Ecological Sciences, pp. 321–342. CAB International, Wallingford (1994)Google Scholar
  3. 3.
    Lam, H.B., Phan, T.T., Vuong, L.H., Huynh, H.X., Pottier, B.: Designing a brown planthoppers surveillance network based on wireless sensor network approach. In: ISCRAM (Information Systems for Crisis Response and Management) Vietnam 2013 Conference (2013)Google Scholar
  4. 4.
    Lam, B.H., Huynh, H.X., Traoré, M., Lucas, P.Y., Pottier, B.: Monitoring environmental factors in Mekong Delta of Vietnam using Wireless Sensor Network approach. In: 8th International conference on Simulation and Modelling in the Food and Bio-Industry FoodSim 2014, pp. 71–78, ISBN 978-90-77381-84-7 (2014)Google Scholar
  5. 5.
    Cuong, H., Phan, H.X.H., Drogoul, A.: An agent-based approach to the simulation of brown plant hopper (BPH) invasions in the mekong delta. In: 2010 IEEE RIVF International Conference on Computing & Communication Technologies. Research, Innovation, and Vision for the Future (RIVF), Hanoi, Vietnam, pp. 1–6. IEEE, Heidelberg (2010)Google Scholar
  6. 6.
    Nguyen, V.G., Nhi, H., Xuan, H., Vo, T.T., Drogoul, A.: On weather affecting to brown plant hopper invasion using an agent-based model. In: Proceedings of the International Conference on Management of Emergent Digital EcoSystems, MEDES 2011, pp. 150–157, ISBN 978-1-4503-1047-5. ACM, New York (2011)Google Scholar
  7. 7.
    Truong, V.X., Huynh, H.X., Le, M.N., Drogoul, A.: Modeling a surveillance network based on unit disk graph technique – application for monitoring the invasion of insects in mekong delta region. In: Rahwan, I., Wobcke, W., Sen, S., Sugawara, T. (eds.) PRIMA 2012. LNCS (LNAI), vol. 7455, pp. 228–242. Springer, Heidelberg (2012). doi: 10.1007/978-3-642-32729-2_16 CrossRefGoogle Scholar
  8. 8.
  9. 9.
    Rhainds, M., Heard, S.B.: Sampling procedures and adult sex ratios in spruce budworm. Entomol. Exp. Appl. 154, 91–101 (2014)CrossRefGoogle Scholar
  10. 10.
    Rhainds, M.: Wing wear and body size measurements of adult spruce budworms captured at light traps: inference on seasonal patterns related to reproduction. Appl. Entomol. Zool. 50(4), 477–485 (2015). Springer, Japan, ISBN 0003-6862Google Scholar
  11. 11.
    Heong, K.L., Hardy, B.: Planthoppers: new threats to the sustainability of intensive rice production systems in Asia, ISBN 978-90-77381-84-7. International Rice Research Institute, Asian Development Bank, Australian Government, Australian Centre for International Agricultural Research (2009)Google Scholar
  12. 12.
    Lee, E.A.: CPS foundations. In: Proceedings of the 47th Design Automation Conference (DAC), pp. 737–742. ACM (2010)Google Scholar
  13. 13.
    Lynch, N.A.: Distributed Algorithms. Morgan Kaufmann Publishers Inc., San Francisco (1996). ISBN 155860348Google Scholar
  14. 14.
    Reissig, W.H., Heinrichs, E.A., Litsinger, J.A., Moody, K., Fiedler, L., Mew, W., Barrion, A.T.: Illustrated Guide to Integrated Pest Management in Rice in Tropical Asia. IRRI, Philippines (1986)Google Scholar
  15. 15.
    Cheng, S., Chen, J., Si, H., Yan, L., Chu, T., Wu, C., Chien, J., Yan, C.: Studies on the migrations of brown planthoppers. Nilaparvata Lugens Std. Acta Entomol. Sinica 22, 1–21 (1979). (Chinese, English summary)Google Scholar
  16. 16.
    Li, Y., Thai, M.T., Wu, W.: Wireless Sensor Networks and Applications. Springer (2008)Google Scholar
  17. 17.
    Pottier, B., Lucas, P.-Y.: Dynamic networks “NetGen: objectives, installation, use, and programming". Université de Bretagne Occidentale (2015).
  18. 18.
  19. 19.
  20. 20.
    IEEE Standard for Modeling and Simulation (M&S) High Level Architecture (HLA) Federate Interface Specification. IEEE Std 1516.1-2010, pp. 1–378 (2010)Google Scholar
  21. 21.
    Dufay, C.: Contribution a l’Etude du phototropisme des Lépidopteres noctuides. Annales des Sciences Naturelles Zoologie, Paris 12(6), 81–406 (1964)Google Scholar
  22. 22.
    Wolfram, S.: Cellular Automata and Complexity, ISBN: 0-201-62716-7. Westwiew Press, Perseus Books Group (1994)Google Scholar
  23. 23.
    Chien, H.V., Huan, N.H., Cuong, L.Q.: Escape Strategy can successfully manage BPH and virus disease in the Mekong (2012).
  24. 24.
    Cecílio, J., Pedro, F.: Wireless sensor networks: concepts and components. In: Wireless Sensors in Heterogeneous Networked System, Computer Communications and Networks, pp. 5–25. Springer International Publishing (2014)Google Scholar
  25. 25.
  26. 26.
    Lasnier, G., Cardoso, J., Siron, P., Pagetti, C., Derler, P.: Distributed simulation of heterogeneous and real-time systems. In: 2013 IEEE/ACM 17th International Symposium on Distributed Simulation and Real Time Applications (DS-RT), pp. 55–62 (2013)Google Scholar
  27. 27.
    Quang, T.C., Minh, V.Q., Nguyen, T.H., Chien, H.V.: Managing the Brown Planthopper caught by light traps for supporting of rice cultivation in the Mekong Delta. In National GIS application conference (in Vietnamese) (2013)Google Scholar

Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2016

Authors and Affiliations

  • Bao Hoai Lam
    • 1
    Email author
  • Huu-Hung Huynh
    • 2
  • Hiep Xuan Huynh
    • 3
  • Bernard Pottier
    • 1
  1. 1.Université de Bretagne Occidentale, LAB-STICC, UMR CNRS 6285BrestFrance
  2. 2.Danang UniversityDanangVietnam
  3. 3.DREAM Team/UMI 209 UMMISCO-IRDCantho UniversityCanthoVietnam

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