CFP last date
20 May 2024
Reseach Article

A Survey on Congestion Control in Wireless Sensor Networks

by K. Sumathi, M. Venkatesan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 147 - Number 6
Year of Publication: 2016
Authors: K. Sumathi, M. Venkatesan
10.5120/ijca2016911115

K. Sumathi, M. Venkatesan . A Survey on Congestion Control in Wireless Sensor Networks. International Journal of Computer Applications. 147, 6 ( Aug 2016), 6-11. DOI=10.5120/ijca2016911115

@article{ 10.5120/ijca2016911115,
author = { K. Sumathi, M. Venkatesan },
title = { A Survey on Congestion Control in Wireless Sensor Networks },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2016 },
volume = { 147 },
number = { 6 },
month = { Aug },
year = { 2016 },
issn = { 0975-8887 },
pages = { 6-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume147/number6/25655-2016911115/ },
doi = { 10.5120/ijca2016911115 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:51:09.316229+05:30
%A K. Sumathi
%A M. Venkatesan
%T A Survey on Congestion Control in Wireless Sensor Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 147
%N 6
%P 6-11
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Congestion in wireless sensor networks creates a lot of issues like packet collision, buffer overflow, queuing delay and many to one data transmission scheme. This leads to degrade the quality of service parameters like packet delivery ratio, end to end delay and Average energy consumption of the wireless nodes. In this work is used to describe some of the congestion control mechanisms used in the WSNs and classifies them into four major categories traffic rate control, resource management, traffic rate and resource management and priority based congestion control. The comparative analysis is used to compare the popular congestion control protocols with each other in terms of congestion detection, congestion notification and its advantages and disadvantages.

References
  1. I. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci. A survey on sensor networks. Communications Magazine, IEEE, 40(8):102 – 114, Aug 2002.
  2. Mohamed Amine Kafi, Djamel Djenouri, Jalel Ben Othman, Abdelraouf Ouadjaout,, Nadji Badache,” Congestion Detection Strategies in Wireless sensor Networks: A Comparative Study with Test bed Experiments”, The 5th International Conference on Emerging Ubiquitous Systems and Pervasive Networks EUSPN-2014.
  3. Ali Ghaffari,”Congestion control mechanisms in wireless sensor networks: A survey” Journal of Network and Computer Applications March 2015.
  4. C.Y. Wan, A.T. Campbell and S.B. Eisenman, “CODA: congestion detection and avoidance in sensor networks”, in Proceedings of the 1st international Conference on Embedded Networked Sensor Systems: (SenSys ’03), ACM, 2003, pp. 266–279.
  5. A. Woo and D. E. Culler, “A Transmission Control Scheme for Media Access in Sensor Networks,” in Proceedings of the 7th annual International Conference on Mobile Computing and Networking (Mobi-Com’01), 2001, pp. 221–235.
  6. C. T. Ee and R. Bajcsy, “Congestion Control and Fairness for Many-to-One Routing in Sensor Networks,” in SenSys ’04: Proceedings of the 2nd international Conference on Embedded Networked Sensor Systems, 2004, pp. 148–161.
  7. W.W. Fang, J.M. Chen, L. Shu, T.S. Chu and D.P. Qian, “Congestion avoidance, detection and alleviation in wireless sensor networks”, Journal of Zhejiang University- SCIENCE C, Vol. 11, no.1, 2010, pp. 63-73.
  8. L. Tao and F. Yu, “ECODA: enhanced congestion detection and avoidance algorithm for multiple class of traffic in sensor networks”, IEEE Transactions on Consumer Electronics, Vol. 56, no. 3, 2010, pp. 1387-1394.
  9. J. Kang, Y. Zhang, and B. Nath, “TARA: Topology-Aware Resource Adaptation to Alleviate Congestion in Sensor Networks,” IEEE Transactions on Parallel and Distributed Systems, vol. 18, no. 7, pp. 919–931,2007.
  10. C. Sergiou, V. Vassiliou, and A. Paphitis, “Hierarchical Tree Alternative Path (HTAP) Algorithm for Congestion Control in Wireless Sensor Networks,” Ad Hoc Network., vol. 11, no. 1, pp. 257–272, Jan. 2013.
  11. Vedantham R, Sivakumar R, Park S-J. Sink-to-sensors congestion control. Ad Hoc Netw 2007;5(4):462–85.
  12. J.-M. Huang, C.-Y. Li, and K.-H. Chen, “TALONet: A Power-Efficient Grid-Based Congestion Avoidance Scheme Using Multi-Detouring Technique in Wireless Sensor Networks,” in Wireless Telecommunications Symposium, 2009, pp. 1 –6.
  13. CHAKRABORTY ET AL Trust Integrated Congestion Aware Energy Efficient Routing for Wireless Multimedia Sensor Networks (TCEER). Journal of Computing and Information Technology - CIT 23, 2015, 2, 95–109.
  14. C. Wang, K. Sohraby, V. Lawrence, B. Li, and Y. Hu, “Priority-based congestion control in wireless sensor networks,” International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing,vol. 1, pp. 22–31, 2006.
  15. Heikalabad SR, Ghaffari A, Hadian MA, Rasouli H. DPCC: dynamic predictive congestion control in wireless sensor networks. IJCSI Int J Comput Sci Issues 2011;8(1):472–7.
  16. Mian Ahmad Jan, Priyadarsi Nanda, Xiangjian He , Ren Ping Liu ,” PASCCC: Priority-based application-specific congestion control clustering protocol”, Computer Networks 74 (2014) 92–102.
Index Terms

Computer Science
Information Sciences

Keywords

Wireless sensor networks Congestion detection Congestion notifications Congestion control.