Demand Based Coverage in Wireless Sensor Network using Energy Efficient Algorithm

Wireless sensor network (WSN) models have been employed in recent years for monitoring purposes in different field from engineering industry to our home environment due to their ability to intelligently monitor remote locations. In this paper, we present a demand-based coverage in wireless sensor network and connectivity using efficient algorithms. The protocol reduces the energy consumption by assigning the minimum required sensing range to the sensors and using a scheduling protocol to periodically turn of the sensors node in a styled manner and route optimization with an energy efficient technique for the demand based coverage. Our Simulation result shows a better performance with respect to energy consumption, which is reflected in the network lifetime in both homogeneous and heterogeneous settings when compared with the existing protocols. It is worthy that our approach approximates an ideal solution for balanced energy consumption and full connectivity as per demand in hierarchical wireless sensor networks.