Abstract
In Wireless Sensor Networks (WSNs), the congestion can increase the ratio of packet loss and reduce of the network throughput. In this paper, I study on the congestion problem between child and parent nodes in WSN, which typically faces of low power and resource constraint devices. I use game theory strategy to design a parent-change procedure which decides how nodes changing their next hop node to mitigate the effect of network congestion. The simulation results show that the protocol can achieve improvement in packet loss rate and throughput.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Montenegro, G., Kushalnagar, N., Hui, J., Culler, D.: Transmission of IPv6 Packets over IEEE 802.15.4 Networks. RFC 4944 (Proposed Standard), Internet Engineering Task Force, September 2007. http://tools.ietf.org/html/rfc4944/
Winter, T., et al.: RPL: IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL), RFC 6550 (Proposed Standard), Internet Engineering Task Force, March 2012. http://tools.ietf.org/html/rfc6550/
Kafi, M.A., Djenouri, D., Ben-Othman, J., Badache, N.: Congestion control protocols in wireless sensor networks: a survey. IEEE Commun. Surv. Tut. 16(3), 1369–1390 (2014)
Iniya Shree, S., Karthiga, M., Mariyammal, C.: Improving congestion control in wsn by multipath routing with priority based scheduling. In: Proceedings of 2017 International Conference on Inventive Systems and Control (ICISC), Coimbatore, India, pp. 1–6, January 2017
Couto, D.D., Aguayo, D., Bicket, J., Morris, R.: A high-throughput path metric for multi-hop wireless routing. In: Proceedings of the 9th Annual International Conference on Mobile Computing and Networking, San Diego, USA, pp. 134–146, September 2003
Joseph Auxilius Jude, M., Diniesh, V.C.: DACC: dynamic agile congestion control scheme for effective multiple traffic wireless sensor networks. In: Proceedings of 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), Xiamen, China, pp. 1329–1333, October 2017
Kittali, R.M., Mahabaleshwar, S.K., Sutagundar, A.V.: Congestion controlled adaptive routing in wireless sensor network. In: Proceedings of 2016 International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES), Odisha, India, pp. 1528–1532, October 2016
Sridevi, S., Usha, M., Lithurin, G.P.A.: Priority based congestion control for heterogeneous traffic in multipath wireless sensor networks. In: Proceedings of IEEE International Conference on Computer Communication and Informatics, Coimbatore, India, pp. 1–5, January 2012
Wan, C.Y., Eisenman, S.B., Campbell, A.T., Crowcroft, J.: Siphon: overload traffic management using multiradio virtual sinks in sensor networks. In: Proceedings of the 3rd International Conference on Embedded Networked Sensor Systems, San Diego, USA, pp. 116–129, November 2005
Ren, F., He, T., Das, S.K., Lin, C.: Traffic-aware dynamic routing to alleviate congestion in wireless sensor networks. IEEE Trans. Parallel Distrib. Syst. 22(9), 1585–1598 (2011)
Monderer, D., Shapley, L.S.: Potential games. Games Econ. Behav. 14(1), 124–143 (1996)
Tsiftes, N., Eriksson, J., Dunkels, A.: Poster abstract: low-power wireless IPv6 routing with ContikiRPL. In: Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks, Stockholm, Sweden, pp. 406–407, April 2010
Atzori, L., Iera, A., Morabito, G.: From Smart objects to social objects: the next evolutionary step of the internet of things. IEEE Commun. Mag. 52(1), 97–105 (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Switzerland AG
About this paper
Cite this paper
Ma, C. (2018). A Congestion Control Protocol for Wireless Sensor Networks. In: Chen, X., Sen, A., Li, W., Thai, M. (eds) Computational Data and Social Networks. CSoNet 2018. Lecture Notes in Computer Science(), vol 11280. Springer, Cham. https://doi.org/10.1007/978-3-030-04648-4_30
Download citation
DOI: https://doi.org/10.1007/978-3-030-04648-4_30
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-04647-7
Online ISBN: 978-3-030-04648-4
eBook Packages: Computer ScienceComputer Science (R0)