08-01-2014, 12:57 PM
Improved power control for wireless Ad-hoc Network using Genetic Algorithm
Abstract
In recent years, there has been explosion of activities in area of wireless network. Wireless communication is one of the fastest growing technologies. Unlicensed frequency bands are used by the Wireless LANs. To see a wireless LAN in homes around the world is very common today. Their unplanned consumption has made the networks to be collectively unmanaged and this has led to the existence of big interference areas. Too much power is lost due to two reasons: the first reason being interference and second reason is that the access points operate beyond their required radio ranges as a result of their default power settings. In this paper we proposed Genetic Algorithm (GA) for optimization. The basic idea of GA is “Select the best, discard the rest”. Genetic Algorithms implement optimization strategies by simulating evolution of species through Natural Selection.
Abstract
In recent years, there has been explosion of activities in area of wireless network. Wireless communication is one of the fastest growing technologies. Unlicensed frequency bands are used by the Wireless LANs. To see a wireless LAN in homes around the world is very common today. Their unplanned consumption has made the networks to be collectively unmanaged and this has led to the existence of big interference areas. Too much power is lost due to two reasons: the first reason being interference and second reason is that the access points operate beyond their required radio ranges as a result of their default power settings. In this paper we proposed Genetic Algorithm (GA) for optimization. The basic idea of GA is “Select the best, discard the rest”. Genetic Algorithms implement optimization strategies by simulating evolution of species through Natural Selection.