Advertisement

A Congestion Control Technique for the Near-Sink Nodes in Wireless Sensor Networks

  • SungHyun Moon
  • SungMin Lee
  • HoJung Cha
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4159)

Abstract

Without congestion control techniques specifically designed for sensor network applications, the system may not function properly due to data transmission failure. Moreover, most many-to-one communication schemes adopted by sensor network applications cause a practical congestion problem called the funneling effect. With this problem, the hottest area is confined to the connection between the sink and its neighbors. In order to solve the bottleneck problem, we propose a congestion-control technique which uses adaptive time-slot scheduling and a service-differentiated technique. The simulation results show that the proposed method outperforms the conventional technique.

Keywords

Sensor Network Sensor Node Wireless Sensor Network Congestion Control Packet Drop 
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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Akylidiz, I.F., Su, W., Sankarasubaramaniam, Y., Cayrici, E.: A Survey on Sensor Networks. IEEE Communication Magazine 40, 102–114 (2002)CrossRefGoogle Scholar
  2. 2.
    Tilak, S., Abu-Ghazaleh, N.B., Heinzelman, W.: Infrastructure Tradeoffs for Sensor Networks. In: The 1st ACM International Workshop on Wireless Sensor Networks and Applications (WSNA), Atlanta, pp. 49–58 (2002)Google Scholar
  3. 3.
    Jung, W., Shin, S., Pink, C.S., Cha, H.: Reducing Congestion in Real-Time Multi-party- tracking Sensor Network Applications. In: The 1st International Workshop on RFID and Ubiquitous Sensor Network, Nagasaki, pp. 1191–1200 (2005)Google Scholar
  4. 4.
    Wan, C., Eisenman, S.B., Campbell, A.T.: CODA: Congestion Detection and Avoidance in Sensor Networks. In: Proc. of ACM SenSys 2003, Los Angeles, pp. 266–279 (2003)Google Scholar
  5. 5.
    Sankarasubramaniam, Y., Akan, O.B., Akyildiz, I.F.: ESRT: Event-to-Sink Reliable Transport in Wireless Sensor Networks. In: Proc. of MobiHoc 2003, Annapolis, Maryland, pp. 177–189 (2003)Google Scholar
  6. 6.
    Hull, B., Jamieson, K., Balakrishnan, H.: Mitigating Congestion in Wireless Sensor Networks. In: Proc. of ACM SenSys 2004, Baltimore, pp. 134–147 (2004)Google Scholar
  7. 7.
    Kang, J., Zhang, Y., Nath, B., Yu, S.: Adaptive Resource Control Scheme to Alleviate Congestion Control in Sensor Networks. In: Proc. of the 1st Workshop on Broadcast Advanced Sensor Networks (BASENETS), San Jose (2004)Google Scholar
  8. 8.
    Ee, C.T., Bajcsy, R.: Congestion Control and Fairness for Many-to-one routing in Sensor Networks. In: Proc. of ACM SenSys 2004, Baltimore, pp. 148–161 (2004)Google Scholar
  9. 9.
    Wan, C., Eisenman, S.B., Campbell, A.T., Crowcroft, J.: Siphon: Overload Traffic Management Using Multi-radio Virtual Sinks in Sensor Networks. In: Proc. of ACM SenSys 2005, San Diego, pp. 116–129 (2005)Google Scholar
  10. 10.
    Karenos, K., Kalogeraki, V., Krishnamurthy, S.V.: Cluster-Based Efficient Routing in Wireless Sensor Networks. In: IEEE Workshop on Embedded Networked Sensor (EmNets 2005), Sydney, pp. 107–114 (2005)Google Scholar
  11. 11.
  12. 12.
    Levis, P., Madden, S., Polastre, J., Szewczyk, R., Whitehouse, K., Woo, A., Fay, D., Hill, J., Welsh, M., Brewer, E., Culler, D.: TinyOS: An Operating System for Sensor Networks. In: Ambient Intelligence, pp. 115–148. Springer, Berlin (2005)CrossRefGoogle Scholar
  13. 13.
    Levis, P., Lee, N., Welch, M., Culler, D.: TOSSIM: Accurate and Scalable Simulation of Entire TinyOS Applications. In: ACM SenSys, pp. 126–137 (2003)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • SungHyun Moon
    • 1
  • SungMin Lee
    • 1
  • HoJung Cha
    • 1
  1. 1.Department of Computer ScienceYonsei UniversitySeoulKorea

Personalised recommendations