Skip to main content

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

  • Conference paper

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 182))

Abstract

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.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Pratt, T., Bostian, C.W.: Satellite Communications. John Wiley & Sons

    Google Scholar 

  2. Rappaport, T.S.: Wireless Communications: Principles and Practice. Prentice Hall (1996)

    Google Scholar 

  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. 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. 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. 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. Tran-Quang, V., Miyoshi, T.: A novel gossip-based sensing coverage algorithm for dense wireless sensor networks. Comp. Net. 53, 2275–2287 (2009)

    Article  MATH  Google Scholar 

  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. Tsai, Y.R.: Sensing coverage for randomly distributed wireless sensor networks in shadowed environments. IEEE Trans. Veh. Tech. 57, 556–564 (2008)

    Article  Google Scholar 

  10. Ghosh, A., Das, S.: Coverage and connectivity issues in wireless sensor networks: A survey. Pervasive Mob. Comp. 4, 303–334 (2008)

    Article  Google Scholar 

  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. 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. 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. 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 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Suman Bhowmik .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Bhowmik, S., Giri, C. (2013). A Novel Fuzzy Sensing Model for Sensor Nodes in Wireless Sensor Network. In: Abraham, A., Thampi, S. (eds) Intelligent Informatics. Advances in Intelligent Systems and Computing, vol 182. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32063-7_39

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-32063-7_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32062-0

  • Online ISBN: 978-3-642-32063-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics