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(to be completed)

 


ThinkMind // International Journal On Advances in Networks and Services, volume 3, numbers 1 and 2, 2010 // View article netser_v3_n12_2010_20


Increasing Energy Efficiency in Mobile Peer Networks by Exploiting Traffic Sampling Techniques

Authors:
Julian K. Buhagiar
Carl J. Debono

Keywords: energy saving, mobile peer networking, power consumption, state-switching, traffic sampling

Abstract:
Wireless infrastructures have seen a drastic increase in energy requirements as technology has shifted towards higher allocated frequencies in an attempt to provide more bandwidth to accommodate more users and provide the resources for more demanding applications and services, such as video streaming and multimedia applications. Driven by the increase in demand from an always increasing subscriber base, large cities are also forcing wireless service operators to install more base stations and access points to sustain an adequate quality of service. Mobile peer networking offers a possible solution for the later with the added benefit of providing power-efficient communication, since transmission over short distances demands less transmission power using appropriate peer connectivity algorithms [1]. Thus, substantial energy can be saved, given that the power amplifier that lies in the transmitter circuitry is the most power hungry device of each mobile node. A novel algorithm based on peer nodal hierarchies, traffic mapping, and neural networks is proposed. This algorithm invokes the use of a traffic sampling matrix to optimise delivery and routing of peer node information, allowing for more efficient power distribution. Additional optimisation is provided through a state-switching algorithm that exploits the traffic sampling algorithm to switch to a more energy efficient state algorithm when residual neighbouring resources are available. Results show that this technique presents a remarkable power efficiency improvement over standard peer-to-peer networks.

Pages: 227 to 236

Copyright: Copyright (c) to authors, 2010. Used with permission.

Publication date: September 5, 2010

Published in: journal

ISSN: 1942-2644

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