Stochastic modelling of random early detection based congestion control mechanism for bursty and correlated traffic

2004 ◽  
Vol 151 (5) ◽  
pp. 240 ◽  
Author(s):  
L. Guan ◽  
I.U. Awan ◽  
M.E. Woodward
Sensors ◽  
2019 ◽  
Vol 19 (15) ◽  
pp. 3433 ◽  
Author(s):  
Suwannapong ◽  
Khunboa

The Constrained Application Protocol (CoAP) is a simple and lightweight machine-to-machine (M2M) protocol for constrained devices for use in lossy networks which offers a small memory capacity and limited processing. Designed and developed by the Internet Engineering Task Force (IETF), it functions as an application layer protocol and benefits from reliable delivery and simple congestion control. It is implemented for request/response message exchanges over the User Datagram Protocol (UDP) to support the Internet of Things (IoT). CoAP also provides a basic congestion control mechanism. In dealing with its own congestion, it relies on a fixed interval retransmission timeout (RTO) and binary exponential backoff (BEB). However, the default CoAP congestion control is considered to be unable to effectively perform group communication and observe resources, and it cannot handle rapid, frequent requests. This results in buffer overflow and packet loss. To overcome these problems, we proposed a new congestion control mechanism for CoAP Observe Group Communication, namely Congestion Control Random Early Detection (CoCo-RED), consisting of (1) determining and calculating an RTO timer, (2) a Revised Random Early Detection (RevRED) algorithm which has recently been developed and primarily based on the buffer management of TCP congestion control, and (3) a Fibonacci Pre-Increment Backoff (FPB) algorithm which waits for backoff time prior to retransmission. All the aforementioned algorithms were therefore implemented instead of the default CoAP mechanism. In this study, evaluations were carried out regarding the efficiency of the developed CoCo-RED using a Cooja simulator. The congestion control mechanism can quickly handle the changing behaviors of network communication, and thus it prevents the buffer overflow that leads to congestions. The results of our experiments indicate that CoCo-RED can control congestion more effectively than the default CoAP in every condition.


2014 ◽  
Vol 519-520 ◽  
pp. 1239-1242
Author(s):  
Xiao Hu Yu

An improved congestion control mechanism based on mobile agent for wireless sensor networks is proposed, which includes node-level congestion and link-level congestion control. The formers congestion information is collected and distributed by mobile agents (MA). When mobile agent travels through the networks, it can select a less-loaded neighbor node as its next hop and update the routing table according to the nodes congestion status. Minimum package of node outgoing traffic was preferentially transmitted in the link-level congestion. Simulation result shows that proposed mechanism attains high delivery ratio and throughput with reduced delay when compared with the existing technique.


2011 ◽  
Vol 219-220 ◽  
pp. 1656-1659
Author(s):  
Chang Hua Liu ◽  
Cao Yuan

The technologies of Wireless local networks and cellular network are very popular and more and more service under the integrated heterogeneous environment. Stream Control Transmission Protocol (SCTP) is considered as an ideal to support the communication between them by enabling a mobile client to freely switch the IP address in different networks. In this paper, we propose an extended analytical model for SCTP which consider the congestion window and scalable of congestion control mechanism. A great advantage of our model is that establishing a relationship between the throughput and congestion control mechanism. Furthermore, the analytical model provides a useful tool to improve congestion control mechanism of SCTP.


2017 ◽  
Vol 140 ◽  
pp. 01033
Author(s):  
M. Z. A. Rahman ◽  
N. Yaakob ◽  
A. Amir ◽  
RB Ahmad ◽  
S.K. Yoon ◽  
...  

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