In WSN there are several challenges. The core challenges are how to afford highest lifetime to network and how to offer a secure communication to network .As sensor network totally relay on battery power the main aim for maximizing lifetime of network is to conserve battery power or energy.
In sensor network the energy is mainly consumed for three purposes: data transmission, signal processing and hardware operation .So for maximizing the network lifetime the process of data transmission should be optimized. Data transmission can be optimized by using efficient routing protocols and effective ways of data aggregation.
All nodes in network communicate with each other via wireless communication. Moreover the energy required to transmit the message is about to receive the message is about twice as great needed to receive the message .The routing objectives are tailored by the application require minimal network delay. While application performing statistical mechanism require maximized network lifetime ,hence different routing mechanism has been proposed for different application and different application and for increase the time period and reduces the energy consumption genetic algorithm concepts used in this.
The objective of this project is to use clustering in sensor network as an optimization technique for preserving energy and increasing the lifetime of network various algorithms are invented for this purpose. The objective here is to find a new approach for an energy efficient clustering algorithm which would satisfy the energy constraints of the network and prolong the network lifetime.
Article Details
Unique Paper ID: 146506
Publication Volume & Issue: Volume 5, Issue 1
Page(s): 125 - 129
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