International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064




Downloads: 109 | Views: 121

Research Paper | Computer Science & Engineering | India | Volume 4 Issue 4, April 2015


Initial Fault Detection by Using RAEED Protocol in Face Tracking Technique

Anuradha M. Joshi | Jagruti J. Shah


Abstract: One of the type of wireless sensor network is object tracking sensor network, which is used to track the object moving in the dedicated area. It reports the latest location of the object to base station. There is new framework for object tracking, which is also called as face track. In face tracking technique the nodes are deployed in spatial region surrounding a target, which is known as face. This framework estimate the target-s moving toward another face instead of predicting the target location separately. A new framework for secure objet tracking is introduced, In which it detects the faulty node and malicious node initially, to prevent from attack and loss of tracking. It also increase the energy efficiency by preventing from reconstruction of polygon, during the tracking of object.


Keywords: OTSN, tracking the target, selection of sensor, edge detection, face tracking, fault tolerance, attack on sensor node, RAEED


Edition: Volume 4 Issue 4, April 2015,


Pages: 2423 - 2426


How to Download this Article?

Type Your Email Address below to Download the Article PDF


How to Cite this Article?

Anuradha M. Joshi, Jagruti J. Shah, "Initial Fault Detection by Using RAEED Protocol in Face Tracking Technique", International Journal of Science and Research (IJSR), Volume 4 Issue 4, April 2015, pp. 2423-2426, https://www.ijsr.net/get_abstract.php?paper_id=SUB153576



Similar Articles with Keyword 'edge detection'

Downloads: 1 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1

Experimental Result Paper, Computer Science & Engineering, India, Volume 11 Issue 12, December 2022

Pages: 717 - 723

Effective Feature Extraction and Classification Method for Potato Foliar and Tuber Disease Detection using Machine Learning

Megha Rani Raigonda | Sujatha P. Terdal

Share this Article

Downloads: 2

Research Paper, Computer Science & Engineering, India, Volume 10 Issue 9, September 2021

Pages: 649 - 652

Image Segmentation using Biogeography based Optimization and its Comparison with K Means Clustering

Babita Chauhan [2] | Preeti Sondhi [7]

Share this Article



Top