Energy Efficient Data Treasuring in Densely Populated Wireless Sensor Network

Wireless Sensor Network (WSN) is the widely used network for the local environment monitoring ranges from health care heart pulses, pressure, sugar level monitoring to wildfire detection, military surveillance. In all these applications of WSN the major activity is the data collection and propagation which involve more energy than the sensing of the environmental factors. This paper is going to discuss, in a densely populated sensor network how this data treasuring can be energy efficient by considering different network formation structures, different broadcast schemes. The energy is the critical factor in case of data collection of WSN as all the sensor nodes have to be with extended life with the scare battery for all the internal operations. This paper proposes an adaptive scheduling and predictive data gathering algorithm to reduce the battery dissipation on data collection. The Quality of Service (QOS) parameters are verified for fairness before and after energy efficiency along with energy relevant readings.