Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/4101
Title: Optimized Routing Of H.264 Using Ant Colony Optimization
Authors: Nunia, Manish kumar
Keywords: Computer 2011
Project Report 2011
Computer Project Report
Project Report
11MCE
11MCEC
11MCEC22
H.264
Ad-hoc network
Ant Colony Optimization (ACO)
AVC/SVC
Video Compression
SP/SI Frames
HRD
Issue Date: 1-Jun-2013
Publisher: Institute of Technology
Series/Report no.: 11MCEC22
Abstract: Streaming is the method of transmitting media as a stream of data that can be processed by the receiving computer before the entire file has been completely sent. Increasing the quality of the streaming leads to pre-requirement of high bandwidth and a tight control over the QoS parameters. The strict QoS parameter control requires better compression techniques along with efficient routing. For compression H.264 compression is explored and for routing purpose Ant based algorithms are explored. An ant is a simple creature; collectively a colony of ants performs useful tasks such as finding the shortest path to a food source and sharing this information with other ants by depositing pheromone. In the field of ant colony optimization (ACO), models of collective intelligence of ants are transformed into useful optimization techniques that find applications in computer networking.
URI: http://10.1.7.181:1900/jspui/123456789/4101
Appears in Collections:Dissertation, CE

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