An Experimental Investigation to Enhance the Life of Wireless Sensor Network by Optimizing the Transmission Power Level of the Data Packets

Abstract

Wireless Sensor Networks (WSN) have gained a lot of attention in recent years. As a result, a variety of power-aware algorithms with various techniques have been developed. These tactics are based on time scheduling approaches, delay bound limitations, data adoption techniques, data aggregation, mobile sinks, a query-based approach, and management of spare nodes based on residual energy levels. The lifetime extensions acquired through practical deployments are significantly lower than those obtained through simulations utilizing identical methodologies. Rate capacity and Recovery effect of the battery are studied concerning the load. Unsuitable sample interval selection, the effect of the sensor field's environment, and transmitting the sensed data with an improper transmission power level are shown to be three major causes of battery death. The impact of varying transmission power levels on the lifetime of the sensor node and hence the wireless sensor network is investigated in this research using a practical approach. During the process, an optimum value of the transmission power level of data packets is discovered, which reduces the battery's Rate Capacity.  With the optimised transmission power level, the sensor node's lifetime was increased by approximately 23%.  The future scope of this work is to use optimum sampling interval along with optimum transmission power level to further extend the lifetime of the WSN.