scholarly journals An approximation delay between consecutive requests for congestion control in unicast CoAP-based group communication

2019 ◽  
Vol 9 (3) ◽  
pp. 1997
Author(s):  
Chanwit Suwannapong ◽  
Chatchai Khunboa
Keyword(s):  
Congestion Control ◽  
Least Squares ◽  
Group Size ◽  
Approximation Method ◽  
Network Performance ◽  
Control Method ◽  
Group Communication ◽  
Network Congestion ◽  
Least Squares Approximation ◽  
Positive Relation

<p>This research presents a way to avoid network congestion during unicast CoAP-based group communication using increased delays between consecutive requests (DCR) in LoWPAN border routers to limit request send rates. It also provides a way to determine DCR values that are suitable for various network group sizes with differing node counts. The optimal DCR is obtained using the least squares approximation method and the relative minimum. Results from experimentation shows a positive relation, that is, an increase in group size necessitates an increase in DCR value. Experiments in various group sizes show favorable network performance and support the proposed congestion control method using DCR.</p>

FLRED: an efficient fuzzy logic based network congestion control method

2016 ◽  
Vol 30 (3) ◽  
pp. 925-935 ◽  
Author(s):  
Mosleh M. Abualhaj ◽  
Ahmad Adel Abu-Shareha ◽  
Mayy M. Al-Tahrawi
Keyword(s):  
Fuzzy Logic ◽  
Congestion Control ◽  
Control Method ◽  
Network Congestion ◽  
Network Congestion Control

scholarly journals Macroblock Importance Based Method for Stereo Video Congestion Control

2015 ◽  
Vol 15 (6) ◽  
pp. 81-90
Author(s):  
Xiaodong Wang ◽  
Ting Yao ◽  
Shaobo Li ◽  
Lianjun Zhang ◽  
Chaolin Wang
Keyword(s):  
Congestion Control ◽  
Control Method ◽  
Video Quality ◽  
Video Stream ◽  
Simulation Platform ◽  
Network Congestion ◽  
Current Frame ◽  
Factors Affecting ◽  
Stereo Video ◽  
Ns2 Simulation

Abstract Transporting a stereo video stream over an unreliable channel can degrade severely the video quality. Network congestion is one of the important factors affecting the video quality. To improve the stereo video quality, a stereo video congestion control method, based on the macroblock importance, is proposed. Firstly, the importance of every macroblock is calculated according to its influence on the current frame and future frames. Then, combined with the importance information, all macroblocks of a frame are divided into three levels. Finally, the packets are transported with the help of RTP/RTCP protocol. We discard some not so important packets actively according to the importance levels when a congestion occurs. The results from NS2 simulation platform show that the stereo video quality is improved with the method proposed.

Research on Network Congestion Control Based on Quantum Genetic Algorithm

2014 ◽  
Vol 513-517 ◽  
pp. 845-849
Author(s):  
Gang Lei ◽  
Xia Yin ◽  
Wei Shi
Keyword(s):  
Genetic Algorithm ◽  
Congestion Control ◽  
Network Performance ◽  
High Efficiency ◽  
Optimal Solution ◽  
Network Congestion ◽  
Gate Operation ◽  
Quantum Bit ◽  
Quantum Genetic Algorithm ◽  
Network Congestion Control

An optimization mathematical model of QoS routing, which with the objectives of network congestion control, is presented in this paper. Combining quantum computation and genetic algorithm, an algorithm for network congestion control based on quantum genetic algorithm (QGA) is proposed. Quantum bit and quantum rotation gate operation are used to update the chromosomes. The simulation results manifest that this algorithm is of fast speed and high efficiency and easily escape from local optimal solution. It can improve network performance and arrive at the purpose of congestion control.

Research on the Network Congestion Control Based on GA-PSO Path Optimization

2014 ◽  
Vol 513-517 ◽  
pp. 675-678
Author(s):  
Jin Xia Ren ◽  
Hao Yang Guo
Keyword(s):  
Congestion Control ◽  
Control Method ◽  
Resource Consumption ◽  
Path Optimization ◽  
Particle Swarm Algorithm ◽  
Network Congestion ◽  
Network Resource ◽  
Network Congestion Control ◽  
Balanced Distribution ◽  
Load Simulation

Based on the integration of the genetic algorithm and particle swarm algorithm, a network congestion control method is proposed for path optimization, which takes the load balanced distribution function and the resource consumption function as optimization target and optimizes path under the condition of meeting a number of QoS metrics such as bandwidth, delay, expense. Aiming at avoidance of network congestion, the approach attempt to minimize the network resource consumption and balance the distribution of network load. Simulation results show that the method is effective and reliable.

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