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DOI: 10.14569/IJACSA.2016.070561
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TMCC: An Optimal Mechanism for Congestion Control in Wireless Sensor Networks

Author 1: Razieh Golgiri
Author 2: Reza Javidan

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 5, 2016.

  • Abstract and Keywords
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Abstract: Most proposed methods for congestion control of Wireless Sensor Networks (WSNs) have disadvantages such as central congestion control mechanism through the sink node, using only one traffic control or resource control mechanism and also having the same throughput on all nodes. For the purpose of addressing these problems, in this paper, a new congestion control protocol is presented in order to increase network lifetime and reliability of WSNs. Since the priority of generated traffic in network level is not uniform in WSNs, an architecture framework is proposed based on priority of generated traffics for service identification in network level in order to meet better service quality and efficiency. The proposed method called TMCC has been compared with Traffic-Aware Dynamic Routing (TADR) method to show the effectiveness of the proposed method in terms of end to end delay, throughput, power consumption and lifetime of network.

Keywords: Wireless Sensor Network (WSN); traffic management; resource control; alternative path; QoS; TMCC

Razieh Golgiri and Reza Javidan, “TMCC: An Optimal Mechanism for Congestion Control in Wireless Sensor Networks” International Journal of Advanced Computer Science and Applications(IJACSA), 7(5), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070561

@article{Golgiri2016,
title = {TMCC: An Optimal Mechanism for Congestion Control in Wireless Sensor Networks},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070561},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070561},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {5},
author = {Razieh Golgiri and Reza Javidan}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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