Skip to main content

A Proactive Routing Algorithm Based on Bitmap Tables for Wireless Sensor Networks

  • Conference paper
Knowledge-Based Intelligent Information and Engineering Systems (KES 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4693))

  • 1507 Accesses

Abstract

Current routing protocols in the sensor network focus on finding energy-efficient route setup so that the lifetime of the network is maximized. They do not use a routing table to decide the route due to increasing memory and updating costs. However, this paper proposes a new routing algorithm to broadcast a routing table to reduce the number of messages transferred to setup the routing path. The routing table is formed with a two-dimensional array, where each row and column is represented by one bit. When a node receives a request message, it updates its routing table after broadcasting. Thus, each node has a routing table with partial link information, which allows them to give much alternative route to the sink node. The proposed routing algorithm reduces the number of required messages for the routing establishment and preserves larger remained energy in compared to the previous algorithms.

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 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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Tian, D., Georganas, N.D.: Energy efficient routing with guaranteed delivery in wireless sensor networks. In: Wireless Communications and Networking, WCNC 2003, March 16-20, 2003, vol. 3, pp. 1923–1929. IEEE, Los Alamitos (2003)

    Chapter  Google Scholar 

  2. Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., Cayirci, E.: Wireless Sensor Networks: A Survey. Computer Networks 38(4), 393–422 (2002)

    Article  Google Scholar 

  3. Sohrabi, K., Gao, J., Ailawadhi, V., Pottie, G.J.: Protocols for Self-Organization of a Wireless Sensor Network. IEEE Personal Communications 7(5), 16–27 (2000)

    Article  Google Scholar 

  4. Min, R., Bhardwaj, M., Cho, S., Shih, E., Sinha, A., Wang, A., Chandrakasan, A.: Low-Power Wireless Sensor Networks. In: Proceedings of International Conference on VLSI Design, Bangalore, India (January 2001)

    Google Scholar 

  5. Akkaya, K., Younis, M.: A survey on routing protocols for wireless sensor networks. Ad Hoc Networks 3(3), 325–349 (2005)

    Article  Google Scholar 

  6. Rodoplu, V., Meng, T.H.: Minimum Energy Mobile Wireless Networks. IEEE Journal of Selected Areas in Communication 17(8), 1333–1344 (1999)

    Article  Google Scholar 

  7. Li, L., Halpern, J.: Minimum-Energy Mobile Wireless Networks Revisited. In: Proceedings of IEEE Conference of Communications (ICC ’01), Helsinki, Finland (June 2001)

    Google Scholar 

  8. Krishnan, R., Starobinski, D.: Efficient clustering algorithms for self-organizing wireless sensor networks, Ad Hoc Networks, Corrected Proof, Available online March 22, 2005 (in press)

    Google Scholar 

  9. Tilak, S., Abu-Ghazaleh, N.B., Heinzelman, W.: A taxonomy of wireless microsensor network models. Mobile Computing and Communications Review 6(2), 28–36 (2002)

    Article  Google Scholar 

  10. Heinzelman, W., Kulik, J., Balakrishnan, H.: Adaptive protocols for information dissemination in wireless sensor networks. In: Proceedings of 5th Annual ACM/IEEE International Conference on Mobile Computing and Networking (MobiCom’99), Seattle, WA (August 1999)

    Google Scholar 

  11. Intanagonwiwat, C., Govindan, R., Estrin, D.: Directed diffusion: a scalable and robust communication paradigm for sensor networks. In: IEEE/ACM Mobicom, pp. 56–67 (2000)

    Google Scholar 

  12. Estrin, D., Govindan, R., Heidemann, J., Kumar, S.: Next century challenges: Scalable coordination in sensor networks. In: Mobile Computing and Networking, pp. 263–270 (1999)

    Google Scholar 

  13. Heinzelman, W., Chandrakasan, A., Balakrishnan, H.: Energy-efficient communication protocol for wireless sensor networks. In: Proceeding of the Hawaii International Conference System Sciences, Hawaii, pp. 3005–3014 (January 2000)

    Google Scholar 

  14. Subramanian, L., Katz, R.H.: An architecture for building self configurable systems. In: Proceedings of IEEE/ACM Workshop on Mobile Ad Hoc Networking and Computing, Boston, MA (August 2000)

    Google Scholar 

  15. Yu, Y., Estrin, D., Govindan, R.: Geographical and energy-aware routing: a recursive data dissemination protocol for wireless sensor networks, UCLA Computer Science Department Technical Report, UCLA-CSD TR-01-0023 (May 2001)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Jung, S., Chung, Y. (2007). A Proactive Routing Algorithm Based on Bitmap Tables for Wireless Sensor Networks. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4693. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74827-4_70

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-74827-4_70

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74826-7

  • Online ISBN: 978-3-540-74827-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics