Fuzzy Logic Based Propagation Limiting Method for Message Routing in Wireless Sensor Networks

  • Sang Hoon Chi
  • Tae Ho Cho
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3983)


Recent advances in micro sensors and wireless communications have enabled the wireless sensor networks. Also, a number of routing protocols have been proposed for the sensor networks. Especially, the directed diffusion is a data-centric and application-aware routing algorithm in which all communication is processed by the attribute-value pairs of the named data. In the directed diffusion, an interest message is propagated through all the nodes within the network. However, the propagation to all the nodes is inefficient in terms of energy consumption. To solve this problem, we propose a new data propagation method in which the data transmission area is limited according to a threshold value for reducing the energy consumption in the network. The fuzzy rule based system is exploited to determine the threshold value by considering the energy and density of all the deployed nodes.


Sensor Network Sensor Node Fuzzy Logic Wireless Sensor Network Neighbor Node 
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.
    Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., Cayirci, E.: A Survey on Sensor Networks. IEEE Commun. Mag., 102–114 (2002)Google Scholar
  2. 2.
    Akkaya, K., Younis, M.: A Survey on Routing Protocols for Wireless Sensor Networks. Ad hoc Networks 3(3), 325–349 (2004)Google Scholar
  3. 3.
    Al-Karaki, J.N., Kamal, A.E.: Routing techniques in wireless sensor networks: a survey. IEEE Wirel. Commun. 11(6), 6–28 (2004)CrossRefGoogle Scholar
  4. 4.
    Jiang, Q., Manivannan, D.: Routing Protocols for Sensor Networks. In: Proc. of CCNC, pp. 63–98 (2004)Google Scholar
  5. 5.
    Estrin, D., Govindan, R., Heidemann, J., Kumar, S.: Next century challenges: Scalable coordination in sensor networks. In: Proc. of MobiCom, pp. 263–270 (1999)Google Scholar
  6. 6.
    Intanagonwiwat, C., Govindan, R., Estrin, D., Heidemann, J., Silva, F.: Directed diffusion for wireless sensor networking. IEEE ACM T. Network 11(1), 2–16 (2003)CrossRefGoogle Scholar
  7. 7.
    Heideman, J., Silva, F., Intanagonwiwat, C., Govindan, R., Estrin, D., Ganesan, D.: Building Efficient Wireless Sensor Networks with Low-Level Naming. In: Proc. of SOSP, pp. 146–159 (2001)Google Scholar
  8. 8.
    Ko, Y.B., Vaidya, N.H.: Location-Aided Routing (LAR) in Mobile Ad Hoc Networks. Wirel. Netw. 6(4), 307–321 (2000)zbMATHCrossRefGoogle Scholar
  9. 9.
    Yu, Y., Govindan, R., Estrin, D.: Geographical and Energy Aware Routing: a recursive data dissemination protocol for wireless sensor networks. UCLA/CSD-TR-01-0023 (2001)Google Scholar
  10. 10.
    Schurgers, C., Srivastava, M.B.: Energy Efficient Routing in Wireless Sensor Networks. In: Proc. of MILCOM, pp. 357–361 (2001)Google Scholar
  11. 11.
    Goldin, D., Song, M., Kutlu, A., Gao, H., Dave, H.: Georouting and Delta-gathering: Efficient Data Propagation Techniques for GeoSensor Networks. In: Proc. of GSN (2003)Google Scholar
  12. 12.
    Ye, F., Zhong, G., Lu, S., Zhang, L.: GRAdient Broadcast: A Robust Data Delivery Protocol for Large Scale Sensor Networks. ACM WINET 11(2) (2005)Google Scholar
  13. 13.
    Handziski, V., Köpke, A., Karl, H., Frank, C., Drytkiewicz, W.: Improving the energy efficiency of directed diffusion using passive clustering. In: Karl, H., Wolisz, A., Willig, A. (eds.) EWSN 2004. LNCS, vol. 2920, pp. 172–187. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  14. 14.
    Xu, Y., Heidemann, J., Estrin, D.: Geography-informed Energy Conservation for Ad-hoc Routing. In: Proc. of MobiCom, pp. 70–84 (2001)Google Scholar
  15. 15.
    Ganesan, D., Govindan, R., Shenker, S., Estrin, D.: Highly-resilient, energy-efficient multipath routing in wireless sensor networks. Mobile Computing and Comm. Rev. 4(5) (2001)Google Scholar
  16. 16.
    Bulusu, N., Estrin, D., Girod, L., Heidemann, J.: Scalable Coordination for wireless sensor networks: Self-Configuring Localization Systems. In: Proc. of ISCTA (2001)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Sang Hoon Chi
    • 1
  • Tae Ho Cho
    • 1
  1. 1.School of Information and Communication EngineeringSungkyunkwan UniversitySuwon, Gyeonggi-doKorea

Personalised recommendations