A Hop by Hop Rate Control Based QoS Management for Real Time Traffic in Wireless Sensor Networks

  • Muhammad Mostafa Monowar
  • Md. Obaidur Rahman
  • Byung Goo Choi
  • Choong Seon Hong
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5297)


Wireless Sensor Network typically assimilates various real time applications that must meet some QoS requirements (e.g. delay, jitter, throughput, packet loss) under severe resource limitations. Hence, quality-of-service (QoS) management in Wireless Sensor Network is an important issue yet to be investigated. Due to the high data rate and burst traffic for real time applications, occurrence of congestion is very common. Ensuring the QoS requirements under congested scenario is quite challenging. As an attempt to this direction, in this paper we propose a hop-by-hop dynamic rate control algorithm which controls the congestion as well as ensures that the real time traffic will meet the soft QoS requirements. We have introduced per-hop deadline miss ratio as the congestion indication metric and performed the rate control when this ratio goes above to a certain level. Thus by per-hop rate adjustment, soft QoS is being met locally which in turns meets the end-to-end soft QoS. Finally, simulation has demonstrated the effectiveness of our approach.


Congestion Soft QoS Per-hop deadline miss ratio Real time traffic 


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  1. 1.
    Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., Cayirci, E.: Wireless sensor networks: A survey. Computer Networks J. 38, 393–422 (2002)CrossRefGoogle Scholar
  2. 2.
    Wang, C., et al.: Upstream Congestion Control in Wireless Sensor Networks Through Cross-Layer Optimization. IEEE Journal on Selected Areas in Communications 25(4) (May 2007)Google Scholar
  3. 3.
    Gungor, V.C., Akan, O.B.: Delay Aware Reliable Transport in wireless sensor networks. IEEE Journal of Communication Systems 20, 1155–1177 (2007)CrossRefGoogle Scholar
  4. 4.
    Kareons, K., Kalogeraki, V.: Real Time Traffic Management in Sensor Networks. In: Proc of IEEE International Real-Time Systems Symposium (2006)Google Scholar
  5. 5.
    Xia, F., Zhao, W., Sun, Y., Tian, Y.: Fuzzy Logic Control Based QoS Management in Wireless Sensor/Actuator Networks, Sensors 7, pp. 3179–3191 (December 2007)Google Scholar
  6. 6.
    Wan, C.-Y., Eisenman, S.B., Campbell, A.T.: CODA: Congestion Detection and Avoidance in Sensor Networks. In: Proceedings of ACM SenSys., vol. 5-7, pp. 266–279 (November 2003)Google Scholar
  7. 7.
    Ee, C.T., Bajcsy, R.: Congestion Control and Fairness for Many-to-One Routing in Sensor Networks. In: Proceedings of the ACM SenSys., vol. 3-5, pp. 148–161 (November 2004)Google Scholar
  8. 8.
    Hull, B., Jamieson, K., Balakrishnan, H.: Mitigating Congestion in Wireless Sensor Networks. In: Proceedings of ACM SenSys., vol. 3-5, pp. 134–147 (November 2004)Google Scholar
  9. 9.
    He, T., Stankovic, J.A., Lu, C., Abdelzaher, T.F.: A spatiotemporal communication protocol for wireless sensor networks. IEEE Trans. Parallel Distr. Syst. 16(10), 995–1006 (2005)CrossRefGoogle Scholar
  10. 10.
    Felemban, E., Lee, C.-G., Ekici, E.: MMSPEED: Multipath multi-SPEED protocol for QoS guarantee of reliability and timeliness in wireless sensor networks. IEEE Trans. Mobile Comput. 5(6), 738–754 (2006)CrossRefGoogle Scholar
  11. 11.
    Akkaya, K., Younis, M.: An energy-aware QoS routingprotocol for wireless sensor networks. In: Proc. of Intl. Conf. on Distributed Computing Systems Workshops (ICSDSW), Washington, DC (2003)Google Scholar
  12. 12.
    Lu, C., Blum, B.M., Abdelzaher, T.F., Stankovic, J.A., He, T.: RAP: A real-time communication architecture for large-scale wireless sensor networks. In: IEEE Real-Time and Embedded Technology and Applications Symposium, San Jose, CA, pp. 55–66 (September 2002)Google Scholar
  13. 13.
    Network Simulator NS-2,

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Muhammad Mostafa Monowar
    • 1
  • Md. Obaidur Rahman
    • 1
  • Byung Goo Choi
    • 1
  • Choong Seon Hong
    • 1
  1. 1.Networking Lab, Department of Computer EngineeringKyung Hee UniversityGyeonggiSouth Korea

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