Najm, I.A. and Ismail, M. and Lloret, J. and Ghafoor, K.Z. and Zaidan, B.B. and Rahem, A.A.R.T. (2015) Improvement of SCTP congestion control in the LTE-A network. Journal of Network and Computer Applications, 58. pp. 119-129. ISSN 1084-8045, DOI https://doi.org/10.1016/j.jnca.2015.09.003.
Full text not available from this repository.Abstract
Long Term Evolution-Advanced (LTE-A) is the fourth-generation wireless communication of mobile technology. LTE-A offers a scalable coverage as it possesses efficient throughput and ubiquitous connectivity. The congestion control of the LTE-A transport layer negatively influences the overall performance of the throughput. Moreover, the existing slow-start and congestion avoidance mechanisms helps to reduce the LTE-A performance. Thus, this paper improves the congestion control mechanism by incorporating the Stream Control Transmission Protocol (SLIP) in LTE-A. Specifically, the slow-start and congestion avoidance phases will be improved. The proposed mechanism, called ENH-SCTP, reduces the time duration, towards reaching a threshold, by ranking the congestion window, throughput, queue size and packet loss as performance metrics. The ranking can be achieved by adding a value which selection is based on a multi-criteria problem. Concretely we used the multi-criteria decision-making (MCDM) technique, especially the utilization of the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The simulation results show that the proposed SCTP in LTE-A performs better than the conventional SCTP. As a consequence, the congestion window, throughput, queue size and packet loss are significantly improved. (C) 2015 Elsevier Ltd. All rights reserved.
| Item Type: | Article |
|---|---|
| Funders: | UNSPECIFIED |
| Uncontrolled Keywords: | SCTP; Congestion control; LTE-A; N-selection; TOPSIS |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Depositing User: | Mrs. Siti Mawarni Salim |
| Date Deposited: | 23 Aug 2016 08:47 |
| Last Modified: | 15 Nov 2024 04:05 |
| URI: | http://eprints.um.edu.my/id/eprint/16299 |
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