Hashing Technique Data Optimization for Low Power Consumption in Wireless Sensor Network

With the advent of technology MEMS came surpassing and led to the design of very small sensor nodes. This led to the creation of wireless sensor nodes. Background: Wireless Sensor Networks are entrancing to researchers due to their wide range of ever-growing application potential in every area and have been adapted in order to implement many applications such as habitat monitoring, military surveillance, precision agriculture. One of the major design challenges in Wireless Sensor Networks is power consumption. Analysis: It is crucial in various functions to position sensor nodes in an efficient way in order to monitor the event squarely and deliver the data to sink node. Uneven power consumption by nodes leads to the creation of energy holes, which means that data can never be delivered to the sink on that path. Findings: The sensor nodes located near to the sink node as the precedence, as there are the first ones to get effected due to this power consumption patterns and in 99 percent of the cases the first and the second rings are the places where an energy hole is first created. The main aim of this paper is to develop an algorithm using hashing technique which reduces the power consumption and energy harvesting is done optimally by avoiding duplication of packets in static network. Improvements: The power consumption improvement ratio and the life elongation of the network were simulated using Network simulator tool using the hashing technique and avoiding duplication of packets.