An expert system for real-time traffic management in wireless local area networks |
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| Affiliation: | 1. Renesas Mobile Europe Ltd., Elektroniikkatie 10, FI-90570 Oulu, Finland;2. VTT Technical Research Centre of Finland, Finland;1. University of Information Technology, Vietnam National University, Ho Chi Minh, Viet Nam;2. Information Technology Department, Ton Duc Thang University, Ho Chi Minh, Viet Nam;3. Department of Computer Science, University of Science, Vietnam National University, Ho Chi Minh, Viet Nam;1. Computer Center, National Pingtung University of Science and Technology, Pingtung 912, Taiwan, ROC;2. Department of Management Information Systems, National Pingtung University of Science and Technology, Pingtung 912, Taiwan, ROC;3. Institute of Information Management, National Chiao Tung University, Hsinchu 300, Taiwan, ROC;4. Telecommunication Laboratories, Chunghwa Telecom Co., Ltd, Taoyuan 326, Taiwan, ROC;1. Department of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China;2. College of Computer Science, Zhejiang University, Hangzhou 310027, China;3. Stanford University, Stanford, CA 94305, USA;4. Hewlett-Packard Labs, 94304 Palo Alto, CA, USA;5. School of Finance and Economics, Zhejiang University of Finance & Economics, Dongfang College Jiaxing, Hangzhou 314408, China;1. Faculty of Engineering & Computer Science, Concordia University, 1515 Ste-Catherine Street West, EV7.640, Montreal, Quebec, Canada H3G 2W1;2. College of Engineering, Khalifa University of Science, Technology, & Research, Abu Dhabi, United Arab Emirates;3. Faculty of Science, McGill University, Dawson Hall, 853 Sherbrooke St. West Montreal, Quebec, Canada H3A 0G5 |
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| Abstract: | The paper explores delay-based congestion and flow control and the offloading of real-time traffic from wireless local area networks (WLANs) to mobile cellular networks (MCNs) in multihomed devices. The control system developed is based on an embedded hierarchical expert system. It adjusts transceivers’ traffic flow(s) for prevailing network conditions to achieve application-dependent delay and throughput limits. In wireless networks, delay and throughput depend on the packet size, packet transmission interval, and node connection density. Therefore, the controller on the destination node monitors average one-way delay and the change of one-way delay of the incoming traffic. On this basis, it adjusts the packet size and transmission interval of the source node by transmitting a control command to the source. If the prevailing level of traffic in the network exceeds its capacity despite of the control actions taken, devices prepare for developed asynchronous offloading of traffic to another access network.The control model was validated via simulation of Voice over Internet Protocol (VoIP) traffic in the OMNeT++ network simulator. The results demonstrate that the expert system developed is able to regulate packet sizes to match the prevailing application-dependent optimum and transfer traffic to another network if the network exceed its capacity no matter the control actions taken. Although this work is motivated mainly by issues of congestion and flow control of WLAN systems and the simulations and results were prepared for the IEEE 802.11b system, the approach and techniques are not limited to these systems, but they are applicable for other packet switched access networks (PSANs), too. |
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| Keywords: | Expert system Fuzzy control Flow control Offloading Real-time traffic WLAN |
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