Abstract:
Wireless sensor networks refer to hundreds and even thousands of small tiny devices called sensor nodes distributed autonomously to observe physical or environmental parameters like temperature, pressure, vibration and motion at different locations such as landslides. Every node in a sensor network usually equipped with one sensor, a wireless communications device like radio transceiver, a small microcontroller, and an energy supply, a battery. Since the nodes are battery operated energy plays a vital role. The application of the WSN involves several fields, like military battleground, fire detection, and other extreme environments. In these situations, it is troublesome to replace the dead nodes caused by energy depletion with new ones to provide energy for the system. Therefore, making sensor nodes operating as long as possible is the main method to maximize the lifespan of the sensor network. Context aware task allocation/energy allocation is an important issue for maximizing the lifetime of the network. In this research our goal is to minimize the wastage of energy and to maximize the usage by context aware energy allocation. We develop a context aware energy allocation algorithm based on First Price Auction method. Our simulation results show that our proposed method provides better results in terms of energy consumption comparing with the other existing methods.
