期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2014
卷号：5
期号：2
页码：1440-1442
出版社：TechScience Publications
摘要：The wireless sensor network is the type of ad-hoc network. Wireless sensor network is self configuring network. Any sensor node can join or leave the network when they want. Wireless sensor network is used to monitor the environmental condition like pressure, temperature etc. In wireless sensor network number of sensor nodes are deployed. Wireless sensor network is deployed in far places like deserts, forests etc. Sensor nodes are very small in size and have limited resources. It is very difficult to recharge or replace the battery of sensor nodes at far places. Because of this our main focus is to reduce the battery consumption of sensor nodes. In our proposed work, we used a new technique to reduce battery consumption. Our proposed work is based on the dynamic clustering using neural network. Here in this work before the data transmission sensor nodes form the cluster dynamically using neural network. we are implementing an advanced rebuilding grid algorithm which re clusters the sensors after every round of communication. Till yet researchers research on various grid rebuilding algorithms which shows by it enhances network lifetime of an wireless sensors networks and even very much helpful in increasing the rate of dead sensors and avoiding the probability of pits, which results in increase of packet delivery time and decrease in packet loss rate. Here in this work we are going to implement rebuilding of grid for WSN networks using neural network approach
