Improvement of SCTP congestion control in the LTE-A network

被引:11
作者
Najm, Ihab Ahmed [1 ,2 ]
Ismail, Mahamod [1 ]
Lloret, Jaime [3 ]
Ghafoor, Kayhan Zrar [4 ]
Zaidan, B. B. [5 ]
Rahem, Abd Al-Razak Tareq [1 ]
机构
[1] Univ Kebangsaan Malaysia, Fac Engn & Built Environm, Bangi 43600, Selangor, Malaysia
[2] Tikrit Univ, Coll Comp & Math, Tikrit, Iraq
[3] Univ Politecn Valencia, Dept Commun, E-46022 Valencia, Spain
[4] Koya Univ, Fac Engn, Koya KOY45, Kurdistan, Iraq
[5] Univ Malaya, Fac Comp Sci & IT, Dept Comp Syst & Technol, Kuala Lumpur 50603, Malaysia
关键词
SCTP; Congestion control; LTE-A; N-selection; TOPSIS; MOBILITY MANAGEMENT; WIRELESS NETWORKS; TCP;
D O I
10.1016/j.jnca.2015.09.003
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:119 / 129
页数:11
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