Analysis of Optimization of Quality of Service Parameters in Wireless Sensor Network by Clustering Approach

Author Name(s): Kanchan Dhote, G.M.Asutkar, Supratim Saha, Tapas Pramanik
Author Email: dhotek@rknec.edu

Abstract

Wireless Sensor Network is a very keen area for research. The factors that plays important role in affecting the performance of Wireless Sensor network are the quality of service parameters. The quality of service parameters plays the important role to judge the performance of Wireless Sensor Network. The important Quality of Service parameters are delay, jitter, throughput, packet delivery ratio and energy consumption. The problems and limitations existing in WSN in terms of Quality of Service parameters are like energy consumption by the routing protocols is very high further if we consider time related issues delay and jitter are high. In terms of security also they are not much secure. This paper proposes to overcome the problems and the limitations present in the existing routing protocols by improving the QOS parameters. This can be achieved by applying Clustering. This paper also presents the mathematical analysis of different routing protocols before and after applying the Clustering. Hence optimization of Quality of Service parameters leads to minimization of energy consumption, delay and jitters and hence enhanced the performance of WSN.

Keywords Delay, Jitter, Energy Consumption, QOS.

Introduction

Wireless sensor networks (WSN) are scattered independent sensors to supervise environmental conditions, for example humidity, pressure, temperature etc. and to readily transfer their data from beginning to end to the network to a most important location. The recent networks are bi-directional, they also enables control of sensor activity. The military applications motivated the development of wireless sensor networks to a greater extent by battlefield surveillance; nowadays such networks are used in almost every field such as industrial and consumer applications, machine health monitoring, and so on. Typically, a wireless sensor node consists of sensors, computing unit, communication unit, and actuation unit and power components. A WSN usually comprises of ten to thousands of such nodes that correspond through wireless channels for information distribution and supportive processing. WSNs can be deployed on a large-scale scale for environmental monitoring and environment study, over a battle for military surveillance and investigation, in emergent environments for search and rescue, in factories for condition based protection, in buildings for transportation health monitoring, in homes to realize smart homes, or even in bodies for patient monitoring.

Conclusion 

After analyzing the simulation results and the comparative tables , the aim and objective of this research work, is achieved. The four protocols AODV, AOMDV, DSDV and DSR are taken into consideration and their individual performance analysis is done on the basis of Quality of Service parameters .The Quality of Service Parameters considered are Delay, Jitter and Energy Consumption. After the performance analysis the comparison between four protocols is done on the basis Quality of Service Parameters. By analyzing the comparative simulation results it is concluded that • AODV has the best all round performance among the four protocols. • DSDV & DSR is suitable for networks with Moderate mobility rate. It has low overhead that makes it suitable for low bandwidth and low power network. • AOMDV is suitable for operation in large mobile networks having dense population of nodes. The major benefit is its excellent support for multiple routes and multicasting The Optimization of the Wireless Communication Sensor Network for Power efficient application. Clustering is done by using LEACH. The energy consumption is less by using clustering because the total numbers of nodes in WSN are divided into several clusters and in these clusters the node having highest energy is considered as Cluster Head. In this way network energy optimization is done and it leads to increase in lifetime.

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