Abstract

<p>Wireless Sensor Networks is a group of sensor nodes dispatched in a geographical area for a defined objective. These sensor nodes are characterized by limited capacity of communicating, computing and especially of energy. The performance of these WSN is resting on a good routing protocol, hence the need to choose the routing protocol able to satisfy the wsn's objectives, and to satisfy the common challenge to prolong network life time.</p><p>Several routing concepts have been proposed for the WSN, hierarchical routing is one of the most used concepts. It is divided into 3 types: cluster based routing, grid based routing and chain based protocol. In this paper, we are interested to Study, analyse and compare two popular routing protocols for Wireless sensor networks (WSNs), Low-Energy Adaptive Clustering Hierarchy (LEACH) using clusters based concept and Power-Efficient Gathering in Sensor Information System (PEGASIS) with chain based concept. The both protocols are simulated with Matlab simulator, in order to evaluate its performances against the different users and the WSNs objectives defined.</p>

Highlights

  • Technological progress advances in a very fast way in our daily life

  • We present our simulation about comparison between the both protocols Low-Energy Adaptive Clustering Hierarchy (LEACH) and Power-Efficient Gathering in Sensor Information System (PEGASIS)

  • We represent the time in x-axis, and y-axis represents the number of alive nodes, the result shows that: PEGASIS offers the stability to the network until the 1150 rounds. 50% of nodes in the network die at approximately 3400 rounds and 100% nodes die at 3700 rounds

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Summary

Introduction

Technological progress advances in a very fast way in our daily life. This progress concerns the various areas, such as military, security surveillance, medical and health, habitat monitoring [1,2]. The WSNs are becoming interesting for these applications. Wireless Sensor Networks consists of a large number of sensor nodes deployed over a geographical area. The objective is to monitor physical or environmental conditions and to transmit the data collected to the Base station. These sensors have limited capacities of energy and usually their batteries cannot be recharged or changed [1,2]. The sensor’s energy influences the lifetime of a network and the failure of its energy can cause the reorganization of the entire network

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