• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.9
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• pp.4342-4366
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• 2016

Congestion control in Cluster Wireless Sensor Networks (CWSNs) has drawn widespread attention and research interests. The increasing number of nodes and scale of networks cause more complex congestion control and management. Active Queue Management (AQM) is one of the major congestion control approaches in CWSNs, and Random Early Detection (RED) algorithm is commonly used to achieve high utilization in AQM. However, traditional RED algorithm depends exclusively on source-side control, which is insufficient to maintain efficiency and state stability. Specifically, when congestion occurs, deficiency of feedback will hinder the instability of the system. In this paper, we adopt the Additive-Increase Multiplicative-Decrease (AIMD) adjustment scheme and propose an improved RED algorithm by using neighbor feedback and scheduling scheme. The congestion control model is presented, which is a linear system with a non-linear feedback, and modeled by Lur'e type system. In the context of delayed Lur'e dynamical network, we adopt the concept of cluster synchronization and show that the congestion controlled system is able to achieve cluster synchronization. Sufficient conditions are derived by applying Lyapunov-Krasovskii functionals. Numerical examples are investigated to validate the effectiveness of the congestion control algorithm and the stability of the network.

• The Journal of the Korea institute of electronic communication sciences
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• v.7 no.4
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• pp.741-746
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• 2012

Transmission control protocol(TCP) widely used as a transport protocol in the Internet includes a loss recovery function that detects and recovers packet losses by retransmissions. The loss recovery function consists of the two algorithms; fast retransmit and fast recovery. There have been researches to avoid nonnecessary retransmission timeouts (RTOs), which leads to selective acknowledgement (SACK) option and limited transmit scheme that are standardized by IETF (Internet Engineering Task Force). Recently, a method that covers the case in which a retransmitted packet is lost again has been propsed. The method, however, is not proved in terms of the additive increase multiplicative decrease (AIMD) principle of TCP congestion control. In this paper, therefore, we analyzed the method in terms of the principle by ns-simulations.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.42 no.12
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• pp.149-158
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• 2005

This paper proposes a congestion avoidance algorithm which provides stable throughput and transmission rate regardless of buffer size by limiting the TCP congestion window in fixed bandwidth networks. Additive Increase, Multiplicative Decrease (AIMD) is the most commonly used congestion control algorithm. But, the AIMD-based TCP congestion control method causes unnecessary packet losses and retransmissions from the congestion window increment for available bandwidth verification when used in fixed bandwidth networks. In addition, the saw tooth variation of TCP throughput is inappropriate to be adopted for the applications that require low bandwidth variation. We present an algorithm in which congestion window can be limited under appropriate circumstances to avoid congestion losses while still addressing fairness issues. The maximum congestion window is determined from delay information to avoid queueing at the bottleneck node, hence stabilizes the throughput and the transmission rate of the connection without buffer and window control process. Simulations have performed to verify compatibility, steady state throughput, steady state packet loss count, and the variance of congestion window. The proposed algorithm can be easily adopted to the sender and is easy to deploy avoiding changes in network routers and user programs. The proposed algorithm can be applied to enhance the performance of the high-speed access network which is one of the fixed bandwidth networks.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.992-995
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• 2010

본 논문에서는 TCP Vegas의 혼잡 제어 알고리즘을 개선하여 전송 효율을 높이는 TCP AD-Vegas를 제안한다. 현재 널리 사용되는 Reno 방식은 Additive Increase Multiplicative Decrease(AIMD) 기반의 혼잡제어 방식으로 혼잡이 생길 경우 세션의 전송 크게 줄이는 기법이다. 최근 네트워크 인프라 증가로 큰 대역폭을 사용할 수 있게 되었으나, TCP Reno의 소극적인 혼잡 윈도우 조절로 충분한 전송 효율을 얻지 못하고 있다. 본 논문에서는 RTT를 이용하여 혼잡 정도를 판단하고 혼잡 윈도우를 조절하는 TCP Vegas를 개선하여 TCP의 전송 효율을 높일 수 있는 새로운 알고리즘을 제안한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.11a
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• pp.925-927
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• 2007

AIMD(Additive Increase Multiplicative Decrease)를 기본으로 하는 TCP 혼잡 제어 알고리즘은 점점 더 사용처가 늘어가고 있는 큰 대역폭 지연 망에서 높은 사용률을 달성하기 힘들다는 문제점을 지니고 있다. 본고에서는 이 문제를 해결하기 위하여 제시된 다양한 TCP 혼잡 제어 알고리즘을 비교 분석해 보고자 한다.