Abstract

Wireless sensor network are emerging in various fields like environmental monitoring, mining, surveillance system, medical monitoring. LEACH protocol is one of the predominantly used clustering routing protocols in wireless sensor networks. In Leach each node has equal chance to become a cluster head which make the energy dissipated of each node be moderately balanced. We have pioneered an improved algorithm named as Novel Leach based on Leach protocol. The proposed algorithm shows the significant improvement in network lifetime .Comparison of proposed algorithm is done with basic leach in terms of network life time, cluster head selection, energy consumption, and data transmission to base station. The simulation results shows that proposed algorithm can reduce network energy consumption and prolong network life commendably. Simulation of our protocol is done with Matlab.

Highlights

  • Wireless Sensor Networks are usually self-organized wireless ad hoc networks comprising of a large number of resource constrained sensor nodes

  • Low-Energy Adaptive Clustering Hierarchy (LEACH) is the most commonly used clustering algorithm in wireless sensor network .In LEACH, the nodes are deployed in specific area and organized into clusters

  • A comparison is drawn between the performance of proposed leach with LEACH, LEACH C, LEACH CC Protocol in terms of network lifetime and in terms of FND, HND.Performance

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Summary

INTRODUCTION

W. R Heinzelman proposed LEACH protocol, which based on cluster structure and hierarchical technology. Relative to the traditional protocol, LEACH could save a greater degree of energy. Each cluster has a cluster head which is accountable for creating a TDMA (time division multiple access) table. It intimate its member sensor nodes when to get transmit data packets The main function of cluster head is to collect data which is coming from different sensor member nodes and transmit data packets to BS.Cluster head serve as a relay node to provide assistance to senor nodes to shorten the transmission distance it saves energy

Setup Phase
Steady State Phase
A Radio Energy Model
Optimal Clustering
Network Model
FUZZY LOGIC CONTROL
Defuzzication
Distance to BS
RESULTS AND DISCUSSIONS
CONCLUSION
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