Node cycling technique using GA

Abstract

‘Wireless Sensor Network’ nodes collect, process and

communication data acquired from the physical environment to

an external- base (BS). Its flexibility on terms of the shape of the

network and mobility of the sensor nodes make it special. Sensor

nodes in WSNs are normally battery- powered. Life of battery

decides the life of node which is turn decides the performance as

well as life of WSN. If one or couple of node id fail due to battery

failure, this may collapse the entire network. As it is well know

that in WSN sometime sensors are placed at such a location

where it is physically impossible to replace the battery. However

if somehow a dead node can be replaced by adjacent node

network can de keep alive. Coverage area also plays important

role in deciding the performance of the system. Here we explore

multi-objective algorithm using GA and try to design an optimal

network by trying to optimize the energy and connectivity

parameters suing two different fitness functions. These functions

include all the necessary design parameters which may affect

performance of WSN.