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Research Article | Open Access |

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) · Vol. 7, No. 5 · Published 2016

DOI: https://doi.org/10.14569/IJACSA.2016.070561

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.

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How to Cite this Article

Golgiri, R., & Javidan, R. (2016). TMCC: An Optimal Mechanism for Congestion Control in Wireless Sensor Networks. International Journal of Advanced Computer Science and Applications, 7(5). https://doi.org/10.14569/IJACSA.2016.070561

Golgiri, Razieh, and Reza Javidan. "TMCC: An Optimal Mechanism for Congestion Control in Wireless Sensor Networks." International Journal of Advanced Computer Science and Applications, vol. 7, no. 5, 2016, https://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},
  volume    = {7},
  number    = {5},
  year      = {2016},
  publisher = {The Science and Information Organization},
  author    = {Razieh Golgiri and Reza Javidan},
  doi       = {10.14569/IJACSA.2016.070561},
  url       = {https://doi.org/10.14569/IJACSA.2016.070561}
}

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