Analysis and Comparison between Congestion Control Techniques
Shivali Dhaka1
- Dept. of Computer Science, Amity Institute of Technology and Management, Amity University, Gurgaon, India.
Section:Review Paper, Product Type: Journal Paper
Volume-6 ,
Issue-3 , Page no. 495-498, Mar-2018
CrossRef-DOI: https://doi.org/10.26438/ijcse/v6i3.495498
Online published on Mar 30, 2018
Copyright © Shivali Dhaka . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Style Citation: Shivali Dhaka, “Analysis and Comparison between Congestion Control Techniques,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.3, pp.495-498, 2018.
MLA Style Citation: Shivali Dhaka "Analysis and Comparison between Congestion Control Techniques." International Journal of Computer Sciences and Engineering 6.3 (2018): 495-498.
APA Style Citation: Shivali Dhaka, (2018). Analysis and Comparison between Congestion Control Techniques. International Journal of Computer Sciences and Engineering, 6(3), 495-498.
BibTex Style Citation:
@article{Dhaka_2018,
author = {Shivali Dhaka},
title = {Analysis and Comparison between Congestion Control Techniques},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2018},
volume = {6},
Issue = {3},
month = {3},
year = {2018},
issn = {2347-2693},
pages = {495-498},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1836},
doi = {https://doi.org/10.26438/ijcse/v6i3.495498}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i3.495498}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1836
TI - Analysis and Comparison between Congestion Control Techniques
T2 - International Journal of Computer Sciences and Engineering
AU - Shivali Dhaka
PY - 2018
DA - 2018/03/30
PB - IJCSE, Indore, INDIA
SP - 495-498
IS - 3
VL - 6
SN - 2347-2693
ER -
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Abstract
Congestion is always a critical area to be tackled to prevent hindrance in successful communication between networks. Sharing of critical information is the foremost responsibility of assorted components of network. Due to sudden occurrence of congestion, all nodes in the Wireless sensor network have to work hard and more in retransmitting data packets to base station through intermediate sensor nodes due to their huge loss. Extreme energy consumption is also there which degrades all over performance and sometimes showing concomitant effects like packet loss in network. So, this congestion needs to be avoided to prevent network failure by improved design of Wireless sensor Network and making use of different congestion protocols as per the application in which it is required. In this paper, we will compare different congestion detection and control algorithms on the basis of protocols and parameters incorporate by them in their Wireless Sensor Network’s topology to handle congestions.
Key-Words / Index Term
WSNs, Congestion Removal Techniques, Traffic Manager and Resource Manager
References
[1] Wang C., Li B., Sohraby K., Daneshmand M. & Hu Y. (2007), “Upstream Congestion Control in Wireless Sensor Networks Through Cross-Layer Optimization”, IEEE J Sel Areas Commun, vol. 25, no. 4, s. 786 – 95.
[2] Yick J., Mukherjee B. & Ghosal D. (2008), “ Wireless Sensor Network survey”, Computer Networks, vol. 52, no. 12, s. 2292 – 2330.
[3] Monowar M., Rahman O., Pathan A. & Hong C. (2012), “ Prioritized Heterogeneous Traffic-Oriented Congestion Control Protocol for WSNs”, International Arab Journal of information technology. Vol. 9, no. 1, s. 39 – 48.
[4] Zhao J., Wang L., Li S., Liu X., Yuan Z. & Gao Z. (2010), “ A survey of Congestion Control Mechanisms in Wireless Sensor Networks”, IEEE sixth international conference on intelligent information hiding and multimedia signal processing, October 2010, Darmstadt, s. 719 – 722, Germany.
[5] Wan C., Eisenman S. & Campbell A. (2003), “ CODA: Congestion Detection and Avoidance in Sensor Networks”, In: Proceedings of Association for Computing Machinery Sensor Systems, Los Angeles, vol. 6, s. 266 – 279, USA.
[6] Wang C., Li B., Sohraby K., Daneshmand M. & Hu Y. (2006) Priority-based Congestion Control in Wireless Sensor Networks. In: IEEE international conference on sensor networks, s. 22 – 31, Taiwan.
[7] Heikalabad S.R., Ghaffari A., Hadian M.A. & Rasouli H. (2011), “ DPCC: dynamic predictive congestion control in wireless sensor networks”, IJCSI Int J Comput Sci Issues 2011, vol. 8, no. 1, s. 472 – 7.
[8] Ee C-T. & Bajcsy R. (2004), “ Congestion control and evenhandedness for many-to-one routing in sensor networks”, In: Proceedings of ACM Sensys’04, s. 461 – 473.
[9] Ghaffari A. (2015), “ Congestion Control mechanisms in wireless sensor networks: A survey”, Journal of network and computer applications, vol. 52, s. 101 – 115.
[10] Kafi M.A., Djenouri D., Othman J.B., Ouadjaout A. & Badache N. (2014),” 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), vol. 16, no. 3, s. 1369 – 1390.