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Probabilistic QOS Aware Congestion Control in Wireless Multimedia Sensor Networks

Circuits and Systems 2016年第9期7卷 2081-2094页

作者： Muthuselvi Mayandi Kavitha Velayudhan Pillai Department of Computer Science and Engineering University College of Engineering Nagercoil Anna University Chennai India Department of Computer Science and Engineering University College of Engineering Kancheepuram Anna University Chennai India

The general problem faced in the field of Wireless Multimedia Sensor Networks (WMSNs) is congestion. The most common method in the area of WMSNs to minimize congestion is traffic control. Quality Of Service (QOS) is widely used in WMSNs to guarantee preferential service for critical applications by controlling end-to-end delay, reducing data loss and by providing adequate bandwidth. The present work is on Probabilistic QOS Aware Congestion Control (PQACC) which employs probabilistic method based congestion prediction and priority based data transmission rate adjustment, where inelastic real-time traffic and elastic non-real-time traffic are treated separately. Using the present PQACC approach, average throughput, average source-to-sink delay and average packet loss probability are improved by 9%, 10.33% and 16.03% compared to EWPBRC and achieved 5.97%, 7.05% and 11.69% improvement compared to FEWPBRC. Simulation result reveals that, congestion is effectively predicted, controlled and provides necessary level of QOS in terms of delay, throughput and packet loss, hence making this approach possible in mission critical applications.

关键词： Congestion Control WMSN traffic Control QOS Probabilistic Method inelastic traffic Elastic traffic

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Simple Rate Control Algorithm in TCP Network Using PSO

Simple Rate Control Algorithm in TCP Network Using PSO

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第25届中国控制会议

作者： Tang Meiqin, Wang Haiqiang,Long Chengnian,Guan Xinping Institute of Electrical Engineering, Yanshan University, Qinhuangdao, 066004 Institute of Information Science and Engineering, Yanshan University, Qinhuangdao, 066004

This paper considers the rate control problem with the objective of maximizing the total user utility. It focuses on the inelastic traffic and removes restrictive assumptions on utility function. We propose a simple distributed algorithm using PSO (particle swarm optimization) for achieving the optimal rates. In our algorithm, the network communicates to the user the number of congested links on the user’s path, and the user adjusts its rate accordingly, taking into account its utility function and the network congestion feedback. Numerical example shows that our algorithm converges to the optimum rates.

关键词： Congestion control elastic traffic inelastic traffic nonconcave PSO

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