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https://www.um.edu.mt/library/oar/handle/123456789/16480
Title: | Exploiting traffic sampling techniques to optimize energy efficiency in mobile peer networks |
Authors: | Buhagiar, Julian K. Debono, Carl James |
Keywords: | Peer-to-peer architecture (Computer networks) Neural networks (Computer science) Quality of service (Computer networks) Energy consumption |
Issue Date: | 2009 |
Publisher: | IEEE Computer Society |
Citation: | Buhagiar, J. K., & Debono, C. J. (2009). Exploiting traffic sampling techniques to optimize energy efficiency in mobile peer networks. First International Conference on Advances in P2P Systems, Sliema. 72-77. |
Abstract: | Wireless infrastructures have seen a drastic increase in energy requirements as technology shifted towards higher frequencies in an attempt to increase bandwidth. Driven by the increase in demand from an always increasing subscriber base, large cities are also demanding more base stations and access points to guarantee adequate quality of service. Mobile peer networking is a possible solution for power-efficient communication, since transmission over short distances demands less power. A novel algorithm based on peer nodal hierarchies, traffic mapping and neural networks is proposed. Results show that this technique presents a remarkable power efficiency improvement over standard peer-to-peer networks. |
URI: | https://www.um.edu.mt/library/oar//handle/123456789/16480 |
Appears in Collections: | Scholarly Works - FacICTCCE |
Files in This Item:
File | Description | Size | Format | |
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Conference paper - Exploiting Traffic Sampling Techniques to Optimize Energy Efficiency in Mobile Peer Networks.pdf Restricted Access | Exploiting traffic sampling techniques to optimize energy efficiency in mobile peer networks | 643.75 kB | Adobe PDF | View/Open Request a copy |
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