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2013 (Vol. 6, Issue: 04)
Article Information:

An Efficient AI Based Approach for Multimedia Traffic Management in Wireless Network

Khalid Hussain, Saleem Iqbal, Sohail Asghar and Abdul Hanan Abdullah
Corresponding Author:  Khalid Hussain 

Key words:  Artificial intelligence, multimedia, noise ratio, signal to, traffic management, ,
Vol. 6 , (04): 551-556
Submitted Accepted Published
December 20, 2012 April 12, 2013 June 20, 2013
Abstract:

This study presents Artificial Intelligence based channel estimation and monitoring technique call AIMonitoring System (AIMS), for integration of Multimedia traffic in wireless network. Through AIMS technique every node in the network has the capability to monitor the neighbour node transmission and also before sending the traffic. The sending node evaluates the SNR ratio as primary parameter and queue limit of the receiving node as secondary. With the help of AIMS every node has the pre-determined information about the selected channel as well as node. Based on conditional and distribution probability model, the proposed Bay Estimator model analyses the SNR ratio before forwarding the multimedia traffic on selected path. We determine the performance of our proposed technique by obtaining the recursive analysis matrix methodology. Amendment of pre-distinct parameters make us capable to maintain the quality of service, multipath adaptability for attack prevention, as well as minimize the packet loss ratio.
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  Cite this Reference:
Khalid Hussain, Saleem Iqbal, Sohail Asghar and Abdul Hanan Abdullah, 2013. An Efficient AI Based Approach for Multimedia Traffic Management in Wireless Network.  Research Journal of Applied Sciences, Engineering and Technology, 6(04): 551-556.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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