A Novel Fuzzy Sensing Model for Sensor Nodes in Wireless Sensor Network

  • Suman Bhowmik
  • Chandan Giri
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 182)


To design an efficient Wireless Sensor Network application one need to understand the behavior of the sensor nodes deployed. To understand the behavior of a systemwe need a very good model, that can represent the system in amore realistic manner. There is a vagueness that we can identify in defining the sensing coverage of any sensor node. The human like reasoning that best suits for this vagueness is the fuzzy reasoning. Here in this paper, we are proposing a fuzzy based model and inference system to best way represent the sensing behavior of sensor nodes. Also, we propose a measure that can be used to check or compare the WSN system performance.


Sensor Node Membership Function Wireless Sensor Network Fuzzy Model Inference Rule 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Pratt, T., Bostian, C.W.: Satellite Communications. John Wiley & SonsGoogle Scholar
  2. 2.
    Rappaport, T.S.: Wireless Communications: Principles and Practice. Prentice Hall (1996)Google Scholar
  3. 3.
    Zhang, H., Nixon, P., Dobson, S.: Partial Coverage in Homological Sensor Networks. In: IEEE Int. Conf. on Wireless and Mob. Computing, Networking and Comm., pp. 42–47 (2009)Google Scholar
  4. 4.
    Parikh, S., Vokkarane, V.M., Xing, L., Kasilingam, D.: Node-Replacement Policies to Maintain Threshold-Coverage in Wireless Sensor Networks. In: 16th Int. Conf. on Comp. Comm. and Net., pp. 760–765 (2007)Google Scholar
  5. 5.
    Song, P., Li, J., Li, K., Sui, L.: Researching on Optimal Distribution of Mobile Nodes in Wireless Sensor Networks being Deployed Randomly. In: Int. Conf. on Comp. Sc. and Info. Tech., pp. 322–326 (2008)Google Scholar
  6. 6.
    Mao, Y., Wang, Z., Liang, Y.: Energy Aware Partial Coverage Protocol in Wireless Sensor Networks. In: Int. Conf. on Wireless Comm., Net. and Mob. Computing, pp. 2535–2538 (2007)Google Scholar
  7. 7.
    Tran-Quang, V., Miyoshi, T.: A novel gossip-based sensing coverage algorithm for dense wireless sensor networks. Comp. Net. 53, 2275–2287 (2009)zbMATHCrossRefGoogle Scholar
  8. 8.
    Liu, T., Li, Z., Xia, X., Luo, S.: Shadowing Effects and Edge Effect on Sensing Coverage for Wireless Sensor Networks. In: 5th Int. Conf. on Wireless Communications, Networking & Mob. Computing, pp. 1–4 (2009)Google Scholar
  9. 9.
    Tsai, Y.R.: Sensing coverage for randomly distributed wireless sensor networks in shadowed environments. IEEE Trans. Veh. Tech. 57, 556–564 (2008)CrossRefGoogle Scholar
  10. 10.
    Ghosh, A., Das, S.: Coverage and connectivity issues in wireless sensor networks: A survey. Pervasive Mob. Comp. 4, 303–334 (2008)CrossRefGoogle Scholar
  11. 11.
    Wang, Q., Xu, K., Takahara, G., Hassanein, H.: WSN04-1: Deployment for Information Oriented Sensing Coverage in Wireless Sensor Networks. In: IEEE Globecom, pp. 1–5 (2006)Google Scholar
  12. 12.
    Xing, G., Tan, R., Liu, B., Wang, J., Jia, X., Yi, C.W.: Data Fusion Improves the Coverage of Wireless Sensor Networks. In: 15th Annual Int. Conf. on Mob. Computing and Networking, pp. 57–168 (2009)Google Scholar
  13. 13.
    Mao, Y., Zhou, X., Zhu, Y.: An Energy-Aware Coverage Control Protocol for Wireless Sensor Networks. In: Int. Conf. on Information and Automation, pp. 200–205 (2008)Google Scholar
  14. 14.
    Soreanu, P., Volkovich, Z.: Energy-Efficient Circular Sector Sensing Coverage Model for Wireless Sensor Networks. In: 3rd Int. Conf. on Sensor Tech. and Apps., pp. 229–233 (2009)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Dept. of CSECollege of Engg. & Mgmt. KolaghatKolaghatIndia
  2. 2.Dept. of ITBengal Engg. & Sc. UniversityKolkataIndia

Personalised recommendations