About Academy  |  About IRBAS  |    Contact Us                                                                                                                                  ISSN (Online) : 2308-7056

International Review of Basic
and Applied Sciences (IRBAS)

Home     Editorial Board     Current Issue     Archive     Indexing      Call for papers     Authors Guideline      Manuscript Submission      Contact

News & Events

Thursday, September 10, 2020
IRBAS Volume 8 Issue 4 will publish in October 2020.
Thursday, September 10, 2020
IRBAS Volume 8, Issue 3 has been published.
Thursday, September 10, 2020
IRBAS Published on Quarterly basis from Volume 8.
Tuesday, January 17, 2017
Recruitment of Reviewers. Reviewers name and affiliation will be listed on the IRBAS journals webpage.

IRBAS Citation Report

  All Since 2020
 Citation  117 16
 h-index 06 01
 i10-index 03 01

Hit Counter

Total 476010
Today's 91
Yesterday's 68

 Country Wise Counter

Academy Publication Ethics

Academy of IRMBR Volume  5, March, 2017
Move your mouse curser on the title to view the abstract of the paper
S.No. Title Authors Pages Download

Energy Efficiency Based Fuzzy Logic Activation/Deactivation of Cluster Nodes for Object Tracking in WSN

Wireless Sensor Networks (WSNs) have enormous applications in the present-day world. These applications are everywhere from military application to households. However, there are certain limitations which serve as hurdles in wide adoption of the WSNs. Mostly such networks are installed in a remote area where sensor nodes are operating using batteries. The conventional network protocols cannot be used due to security, high power consumption, and transmission ranges of such networks. The purpose of this paper is to discuss and evaluate the most efficient network protocol which increase the energy efficiency and network lifetime of the WSNs. Object tracking for the surveillance system is one of the challenges especially when an object is moving at variable speeds. The problem is addressed in this paper using Predictive Model for Object Detection. The fuzzy logic is inspiration from the natural procedures and it is used in this paper to enhance the efficiency of the network. Using fuzzy logic Low-energy Adaptive Clustering Hierarchy (LEACH-FL) protocol is optimized and revised to increase the efficiency of the network. To analyze the results of the designed, protocol a renowned software MATLAB/SIMULINK was used and the results were interoperated in a meaningful manner using the codes. Keywords: WSNs, Object Tracking, Fuzzy Logic, LEACH Protocols, Prediction Based Model.
FARAH HANNA ZAWAIDEH 21-40 Download(448)

Copyright © www.academyirmbr.com : 2012-21. All Rights Reserved.