A Proposed System Using Genetic Algorithm for Energy Efficiency in Wireless Mesh Networks

Support of mobility is catalyst factor for use of wireless mesh networks (WMNs). They are intended to replace wired backbone for making communication truly wireless. With growing interest in WMNs, it can play significant contribution in achieving objective of energy efficient communication. With need of meeting acceptable qualities, networks are planned to support peak traffic demands. But during low traffic periods many of resources are not utilized up to their full capacity. A genetic algorithm based traffic consolidation approach has been designed for WMN. Given traffic demands redundant nodes are identified and allowed to sleep to minimize energy consumption. Tradeoff in saving by switching off underutilized nodes and transmission or reception energy has been considered. Results prove that significant energy can be saved by traffic consolidation.

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