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Abstract

Wireless Sensor Network is a class of wireless ad- hoc networks which consists of spatially distributed autonomous sensor nodes to monitor physical or environmental conditions, such as temperature, sound, pressure, etc. at different locations. Energy consumption is the core issue in wireless sensor networks because nodes are battery operated. It is desirable to make these nodes as cheap and energy-efficient as possible and rely on their large numbers to obtain high quality results. Consequently many protocols have been proposed in order to minimize the energy consumption of these nodes. But the genetic algorithms are unconventional explore and optimization algorithms, which impersonate several of the processes of neural evolution. GAs performs aimed at chance searches during an agreed set of alternatives with the aim of judgment the best option with respect to the known criterion of goodness. These criteria are necessary to be uttered in terms of an aim function which is frequently referred as Fitness Function. Also SPEED is the first energy capable routing protocol. It decreases the energy considerably. So, the main goal of this paper is to improve the energy consumption minimization, end delay, packet delivery rate and speed. In this research, the fitness function are applied in genetic algorithm to calculate the average energy of the arrangement and to make sure which block has lesser energy than average energy. The whole simulation is taken place in the MATLAB 7.10 environment. The proposed technique is providing the promising results.

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Keywords

Wireless Sensor Network, Genetic Algorithm, SPEED Protocol.