Evading gratuitous energy consumption due to activation of superfluous nodes in WSN

Abstract

In the recent period, wireless sensor networks are mostly used in diverse applications of sensing that includes medical, armed forces, civil, adversity management, environmental and commercial applications. Wireless sensor networks typically comprise a hefty amount of sensors. Sensors are device that produces a measurable response in changing the environmental conditions like temperature, humidity, pressure, etc. As the sensor has the limited energy, to boost the duration of network and maintaining coverage preservation, we necessitate an approach that involves least sensors in communication of sensed data to base station. In this research work, we amalgamate the conception of genetics and extended search to evade gratuitous energy consumption which is due to activation of superfluous nodes. We aim to prepare a schedule in which least number of sensors are stimulated and cover each point of concerns.