Skip to main content

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

  • Conference paper
Computational Science and Its Applications - ICCSA 2006 (ICCSA 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3983))

Included in the following conference series:

Abstract

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.

This research was supported by the MIC (Ministry of Information and Communication), Korea, under the ITRC (Information Technology Research Center) support program supervised by the IITA (Institute of Information Technology Assessment).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 139.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., Cayirci, E.: A Survey on Sensor Networks. IEEE Commun. Mag., 102–114 (2002)

    Google Scholar 

  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. Al-Karaki, J.N., Kamal, A.E.: Routing techniques in wireless sensor networks: a survey. IEEE Wirel. Commun. 11(6), 6–28 (2004)

    Article  Google Scholar 

  4. Jiang, Q., Manivannan, D.: Routing Protocols for Sensor Networks. In: Proc. of CCNC, pp. 63–98 (2004)

    Google Scholar 

  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. 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)

    Article  Google Scholar 

  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. Ko, Y.B., Vaidya, N.H.: Location-Aided Routing (LAR) in Mobile Ad Hoc Networks. Wirel. Netw. 6(4), 307–321 (2000)

    Article  MATH  Google Scholar 

  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. Schurgers, C., Srivastava, M.B.: Energy Efficient Routing in Wireless Sensor Networks. In: Proc. of MILCOM, pp. 357–361 (2001)

    Google Scholar 

  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. 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. 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)

    Chapter  Google Scholar 

  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. 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. 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 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Chi, S.H., Cho, T.H. (2006). Fuzzy Logic Based Propagation Limiting Method for Message Routing in Wireless Sensor Networks. In: Gavrilova, M.L., et al. Computational Science and Its Applications - ICCSA 2006. ICCSA 2006. Lecture Notes in Computer Science, vol 3983. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751632_7

Download citation

  • DOI: https://doi.org/10.1007/11751632_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34077-5

  • Online ISBN: 978-3-540-34078-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics