Abstract
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.
This work was supported by the Korea Research Foundation Grant funded by the Korean Government (MOEHRD)" (KRF-2006-521-D00394).
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., Cayirci, E.: Wireless sensor networks: A survey. Computer Networks J. 38, 393–422 (2002)
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)
Gungor, V.C., Akan, O.B.: Delay Aware Reliable Transport in wireless sensor networks. IEEE Journal of Communication Systems 20, 1155–1177 (2007)
Kareons, K., Kalogeraki, V.: Real Time Traffic Management in Sensor Networks. In: Proc of IEEE International Real-Time Systems Symposium (2006)
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)
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)
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)
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)
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)
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)
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)
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)
Network Simulator NS-2, http://www.isi.edu/nsnam/ns
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Monowar, M.M., Rahman, M.O., Choi, B.G., Hong, C.S. (2008). A Hop by Hop Rate Control Based QoS Management for Real Time Traffic in Wireless Sensor Networks. In: Ma, Y., Choi, D., Ata, S. (eds) Challenges for Next Generation Network Operations and Service Management. APNOMS 2008. Lecture Notes in Computer Science, vol 5297. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88623-5_18
Download citation
DOI: https://doi.org/10.1007/978-3-540-88623-5_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88622-8
Online ISBN: 978-3-540-88623-5
eBook Packages: Computer ScienceComputer Science (R0)