alexa Congestion Control in Wireless Communication Network Using Fuzzy Logic and Machine Learning Techniques | Abstract
ISSN ONLINE(2278-8875) PRINT (2320-3765)

International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering
Open Access

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Research Article Open Access


Nowadays wireless networks are the most popular way of communication. For example, internet services in companies, cafes, e-markets and in homes. Therefore, it must be protected against the spiteful users who try to harm the privacy, genuineness and privacy of it. Also there is need of traffic control of information sent over these wireless networks. In this research paper, a technique for controlling the congestion over the wireless networks is shown and to implement it, fuzzy logic and machine learning tools are used. Some of the parameters which are necessary to be considered for congestion control decision mechanism are:Transmission energy, queue size, distance from receiver, transmission rate, cost assigned. On evaluating these parameters using fuzzy logic, a desired output for congestion control can be determined and its efficiency is evaluated using machine learning tools.

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Author(s): Abhishak Sawhney, Ritu Bhatia, Payal Mahajan


wireless networks, congestion, fuzzy logic, machine learning tools., Cellular Communication

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