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DC Field | Value | Language |
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dc.contributor.author | Nunia, Manish kumar | - |
dc.date.accessioned | 2013-11-28T11:10:09Z | - |
dc.date.available | 2013-11-28T11:10:09Z | - |
dc.date.issued | 2013-06-01 | - |
dc.identifier.uri | http://10.1.7.181:1900/jspui/123456789/4101 | - |
dc.description.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. | en_US |
dc.publisher | Institute of Technology | en_US |
dc.relation.ispartofseries | 11MCEC22 | en_US |
dc.subject | Computer 2011 | en_US |
dc.subject | Project Report 2011 | en_US |
dc.subject | Computer Project Report | en_US |
dc.subject | Project Report | en_US |
dc.subject | 11MCE | en_US |
dc.subject | 11MCEC | en_US |
dc.subject | 11MCEC22 | en_US |
dc.subject | H.264 | en_US |
dc.subject | Ad-hoc network | en_US |
dc.subject | Ant Colony Optimization (ACO) | en_US |
dc.subject | AVC/SVC | en_US |
dc.subject | Video Compression | en_US |
dc.subject | SP/SI Frames | en_US |
dc.subject | HRD | en_US |
dc.title | Optimized Routing Of H.264 Using Ant Colony Optimization | en_US |
dc.type | Dissertation | en_US |
Appears in Collections: | Dissertation, CE |
Files in This Item:
File | Description | Size | Format | |
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11MCEC22.pdf | 11MCEC22 | 8.33 MB | Adobe PDF | ![]() View/Open |
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