Minimizing energy consumption in large scale wireless sensor network using adaptive duty cycle algorithm

In a large scale wireless sensor networks, monitoring particular area requires large number of nodes to be active. As the numbers of nodes are more, the energy consumed by each node will be more. Energy is the most critical issue in wireless sensor networks. At MAC level, duty cycle scheduling is being used to improve energy efficiency and a large research is being still going on how to schedule the duty cycle. The duty-cycle is a process that frequently repeats sleep and wake periods. In this paper, to minimize energy consumption the sleep time of node will be adjust in such a way that it should get active only when there is an event in the network. The aspiration of this research is to design adaptive duty cycle algorithm for wireless sensor networks that minimizes energy usage. The algorithm will work over both scenario i.e., high as well as low traffic. Due to its adaptive nature, the energy consumption will be lesser which will help improves life span of network.