Merging Two Arima Models for Energy Optimization in WSN

Nowadays Wireless Sensor Networks (WSNs) are deployed in various fields for different operations like controlling nuclear reactors, detecting seismic activities, security and surveillance, navigational activities, industrial automation and others. Such wide-ranging applications requiring WSNs, make them candi dates for intense research. Wireless sensor network consists of a sensor, a radio transceiver or other wireless communication device, a small micro controller and an energy source normally a battery. WSN are deployed in remote areas where recharging of battery might not be possible. So all the operations(sensing and transmitting data) involving battery must be energy efficient, so as to increase the network lifetime. Base station is supposed to be connected with a constant power source and its energy is not considered for calculating network lifetime. Lifetime of a WSN is defined as the time until which the first sensor node runs out of energy. Base station acts as the central object whose task is to collect all the information and process it for further actions. It also helps the network to organize itself. We can reduce power consumption in several ways(1) by using better query processing approach at architecture level (2) by reducing the amount of communication that needs to be done between sensor nodes and its parent node (3) by also reducing the calculation done at the node.For reducing the amount of communication we use ARIMA model.