Node cycling technique using GA

Vrince Vimal


‘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.

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