*Five Years Citation in Google scholar (2016 - 2020) is. 1451*   *    IJPR IS INDEXED IN ELSEVIER EMBASE & EBSCO *       

logo

INTERNATIONAL JOURNAL OF PHARMACEUTICAL RESEARCH

A Step Towards Excellence
Published by : Advanced Scientific Research
ISSN
0975-2366
Current Issue
No Data found.
Article In Press
No Data found.
ADOBE READER

(Require Adobe Acrobat Reader to open, If you don't have Adobe Acrobat Reader)

Index Page 1
Click here to Download
IJPR 9[3] July - September 2017 Special Issue

July - September 9[3] 2017

Click to download
 

Article Detail

Label
Label
A Unique Method of an Enhanced Node Fault Sensing Approach in Wireless Sensor Networks

Author: KRISHNAMOORTHY.A , VIJAYARAJAN. V
Abstract: Nowadays wireless sensor network plays a huge role in remote environment monitoring system and important key tool which involves in this remote monitoring system is fault sensing which is almost a vital factor in many of the applications. Most of the fault detection mechanisms fails in testing the nodes among with its neighbours of the same network and also fails to exchange data mutually among the nodes. This can be rapidly pull downs the network performance which finally results in false outputs from the monitoring environment. A well-known schemes such as distributed fault detection algorithm and improved distributed fault detection algorithm also gives ideas for detecting fault in any remote location but the accuracy of fault detection is lower in improved distributed fault detection algorithm and it is much lower in distributed fault detection algorithm. This paper deals with enhanced widespread fault sensing algorithm which proposed new sensing criteria’s and outperforms well in any remote monitoring situation and easily increases the fault sensing accuracy. The results which are simulated helps in understanding the performance and demonstrating the enhanced widespread fault sensing algorithm.
Keyword: Wireless sensor networks; Node Fault detection, improved DFD, Enhanced WFS
Download: Request For Article
 
Clients

Clients

Clients

Clients

Clients
ONLINE SUBMISSION
USER LOGIN
Username
Password
Login | Register
News & Events
SCImago Journal & Country Rank

Terms and Conditions
Disclaimer
Refund Policy
Instrucations for Subscribers
Privacy Policy

Copyrights Form

0.12
2018CiteScore
 
8th percentile
Powered by  Scopus
Google Scholar

hit counters free