Single Sink Repositioning Technique in Wireless Sensor Networks for Increasing Throughput and Decreasing Delay

Abstract

Wireless sensor network (WSN) refers to a group of spatially spread and enthusiastic sensors for monitoring and recording the physical conditions of the environment and organizing the collected data at a central location. WSN becomes an energetic subject with the rapid development that is vulnerable to a varied high-quality of attacks due to deployment in the hostile environment. In WSN, throughput is defined as the amount of data transferred from one sensor node to another in a specified amount of time. Delay It refers to the total time taken for a single packet to be transmitted across a network from source to destination. The basic idea of sink relocation is to shorten the distance between sink node and sensor node. So, that significant power savings can be achieved. The problem of distant node energy consumption of wireless sensor node was solved by sink repositioning technique which has capability to move and communicate with all sensor node inside the region. The sink node and sensor node are randomly deployed within the geographic extent of the entire network. In order to test for the impact of repositioning the total power transmission of the sensors for the previous and next sink positions is evaluated and compared. This is result in increasing life time of sensor network by putting sink node at optimum location to decrease the distant node, increases throughput and decrease delay with sink node and analyze the difference. The main aim of the study was to increase throughput and decrease end to end delay. For this study we have used NS-2.35 environment for simulation. Our simulation results show that repositioning the sink achieves significant change on throughput and delay when compared to the static sink approach that have been presented by using network animator(NAM) and Xgraph.

Keywords:- WSN, Sink node, sensor node, throughput, delay and  sink reposition.

DOI: 10.7176/NCS/12-02

Publication date: January 31^st 2021