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Reseach Article

Improved Transport Layer Protocol for Congestion Control in Wireless Sensor Networks

by Praveen Budhwar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 105 - Number 6
Year of Publication: 2014
Authors: Praveen Budhwar
10.5120/18385-9627

Praveen Budhwar . Improved Transport Layer Protocol for Congestion Control in Wireless Sensor Networks. International Journal of Computer Applications. 105, 6 ( November 2014), 39-47. DOI=10.5120/18385-9627

@article{ 10.5120/18385-9627,
author = { Praveen Budhwar },
title = { Improved Transport Layer Protocol for Congestion Control in Wireless Sensor Networks },
journal = { International Journal of Computer Applications },
issue_date = { November 2014 },
volume = { 105 },
number = { 6 },
month = { November },
year = { 2014 },
issn = { 0975-8887 },
pages = { 39-47 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume105/number6/18385-9627/ },
doi = { 10.5120/18385-9627 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:37:02.818716+05:30
%A Praveen Budhwar
%T Improved Transport Layer Protocol for Congestion Control in Wireless Sensor Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 105
%N 6
%P 39-47
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In wireless sensor networks, congestion occurs when multiple sensor nodes try to transmit data at the same time. Congestion may lead to packet drops and increased delay which in turn leads to lower throughput and delivery ratio. Thus congestion is an important aspect that should be considered while designing transport layer protocols for sensor networks. In this paper, we present an improved transport layer protocol for congestion control in wireless sensor networks. This protocol uses buffer size to detect congestion. Congestion is notified by overriding ACK packet with congestion information. Congestion is mitigated by adjusting transmission rates of congested nodes' neighbors to optimal values. Simulation results show that this improved protocol provides an efficient congestion control mechanism and thus leads to increased throughput and delivery ratio with reduced delay and less energy loss as compared to CTCP.

References
  1. I. Mahgoub, and M. Ilyas, Smart Dust: Sensor network applications, architecture, and design, CRC Press, New York, 2006.
  2. J. Yick, B. Mukherjee and D. Ghosal, Wireless sensor network survey, Computer Networks, vol. 52 no. 12, pp. 2292-2330, 2008.
  3. B. Hull, K. Jamieson and H. Balakrishanan, Mitigating congestion in wireless sensor networks, In Proceedings of ACM Sensys'04, pp. 134-147, 2004.
  4. Giancoli, F. C. Jabour and A. C. P. Pedroza, Collaborative transport control protocol, In Proceedings of IEEE International Conference on Computer and Electrical Engineering, IEEE Computer Society, pp. 373-377, 2008.
  5. Giancoli, F. C. Jabour and A. C. P. Pedroza, CTCP: reliable transport control protocol for sensor networks, In Proceedings of the International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP '08), pp. 493–498, 2008.
  6. Y. G. Iyer , S. Gandham and S. Venkatesan, STCP: a generic transport layer protocol for wireless sensor network, In Proceedings of IEEE International Conference on Computer Communications and Networks, pp. 449-454.
  7. Y. Wan, A. T. Campbell and S. . B. Eisenman, CODA: congestion detection and avoidance in sensor networks, In Proceedings of 1st ACM Conference on Embedded Networked Sensor Systems: (Sensys'03), pp. 266-279, 2003.
  8. Chiu and R. Jain, Analysis of the increase and decrease algorithms for congestion avoidance in computer networks, Computer Networks and ISDN Systems, vol. 17 no. 1, pp. 1-14, 1989.
  9. S. Rangwala, R. Gummadi, R. Govindan and K. Psounis, Interference aware fair rate control in wireless sensor networks, In Proceedings of ACM SIGCOMM, pp. 63-74, 2006.
  10. R. Milner, A Calculus of Communicating Systems, Springer, Verlag, 1980.
  11. P. Levis, N. Lee, M. Welsh and D. Culler, TOSSIM: Accurate and scalable simulation of entire tinyos applications. In Proceedings of the ACM Symposium on Networked Embedded Systems, pp. 1-17, 2003.
Index Terms

Computer Science
Information Sciences

Keywords

Congestion control Reliability Transport layer Wireless sensor networks.