Fault Tolerant Event Detection in Distributed WSN via Pivotal Messaging

Chhavi Gupta,Neha Agarwal,Yashwant Singh,Rashmi Sharma

doi:10.24297/ijct.v7i1.3475

Abstract

To mitigate the problem of loosing data, which can be very crucial to prevent environmental disasters, we proposed a faultÂ tolerant event detection algorithm in a distributed environment. We considered the data loss because of node failure inÂ sensor network due to some technical fault or energy issues. This algorithm works by backing up the data of cluster headsÂ at some secondary nodes. If the secondary node that is backup cluster head notices the failure of primary or vital clusterhead,Â it will inform this to all non cluster-head nodes through pivotal messages. Subsequently, backup cluster-head willÂ start working as vital cluster-head with new backup cluster-head. We have taken all parameters with the promising optimalÂ use of energy. We have compared our results with the existing Dynamic Static Clustering Protocol (DSC) and fault toleranÂ Dynamic Clustering Protocol (FT-DSC). We have compared results on the basis of various parameters like energyÂ consumption over time, number of data packet transmission and network life time based on network remaining energy.

Highlights

Wireless Sensor Networks proved its worth in real time environment as it plays a vital role in predicting weather conditions
Advance estimate of the weather condition can be useful in preventing disasters to take place
The Wireless Sensor Network consists of a number of tiny nodes called the sensor nodes placed at distributed location in the networks

Summary

Introduction

Wireless Sensor Networks proved its worth in real time environment as it plays a vital role in predicting weather conditions. Advance estimate of the weather condition can be useful in preventing disasters to take place. The Wireless Sensor Network consists of a number of tiny nodes called the sensor nodes placed at distributed location in the networks. Each sensor nodes are incorporated with the sensing, processing and communication efficiencies. These sensor nodes are divided into clusters to improve the manageability. Each cluster is regulated by a cluster head

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