Wireless Sensor Networks - Adaptive Clustering Mechanism For Nodes In Rich Availability Reduce The Communication Overhead In Clutser Heads

Abstract

The field that is wireless sensor networks (WSNs) is among the fastest growing and rapidly developing areas of research in the world of science. It has resulted in the creation of low-cost, low-power, and multi-functional sensor nodes. But, the issue that sensors run out of energy rapidly is a problem and a variety of energy-efficient methods of routing have been developed to resolve this issue and preserve the long-term viability for the system. This is why the routing protocols in a wireless sensor networks focus on the efficiency of energy conservation. The majority of recent papers have demonstrated a wide array of techniques that are specifically designed to minimize the energy use for sensor network. This paper presents a hierarchical routing technique that proves energy efficiency. The technique we employ selects the cluster heads with the highest remaining energy per round of transmission. It also takes into consideration, which is the closest distance from the station from cluster heads. Simulation results demonstrate that hierarchical routing techniques with different levels of hierarchy extends the lifespan of the network when compared to other clustering strategies and the energy residual average value after a certain number of simulation rounds grows significantly.