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Abstract
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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
Submitted: December 20, 2012
Accepted: April 12, 2013
Published: June 20, 2013 |
Abstract:
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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.
Key words: Artificial intelligence, multimedia, noise ratio, signal to, traffic management, ,
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Cite this Reference:
Khalid Hussain, Saleem Iqbal, Sohail Asghar and Abdul Hanan Abdullah, . An Efficient AI Based Approach for Multimedia Traffic Management in Wireless Network. Research Journal of Applied Sciences, Engineering and Technology, (04): 551-556.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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