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  • GC-CCA 2008
  • 6.Cnf-741
Papers Published at GC-CCA 2008
All 10 Papers
IDAuthors and TitlePages
6.Cnf-408 Prof. Giovanni Garbo
Dr. Stefano Mangione
An OFDM Receiver Exploiting Multipath Diversity
1-6
6.Cnf-610 Dr. Abdulkareem A. Kadhim

The Use of Spread Spectrum to Improve Information Hiding in Images
7-12
6.Cnf-656 Mr. Omar W. Ahmed
Prof. Rami S. Qahwaji


Dr. Stanley Ipson
Applying a Modified Ising Algorithm to Calculate the Energy of Solar Active Regions in Solar Images
13-18
6.Cnf-699 Prof. Jianmin Gong
A rigorous proof of MIMO channel capacity’s increase with antenna number
19-23
6.Cnf-700
Zero Correlation Matrix of A MIMO System and Its Application
24-28
6.Cnf-701 Mr. Yasir Zaki
Dr. Thushara Weerawardane
Mrs. Xi Li
Prof. Andreas Timm-Giel
Dr. Gennaro C. Malafronte
Mr. Carmelita Görg
Effect of the RLC and TNL congestion control on the HSUPA network performance
29-35
6.Cnf-708 Mr. Ahmad Jabas
Prof. Rama Garimella
Prof. S. Ramachandram
Proposing an enhanced mobile ad hoc network framework to the open source simulator NS2
36-41
6.Cnf-719
Space Time Frequency Block Codes for MIMO-OFDM system using Intercarrier Interference Self-Cancellation Schemes
42-47
6.Cnf-720
Enhancing Packet Forwarding in Mobile Ad hoc Networks by Exploiting the Information Dispersal Algorithm
48-53
6.Cnf-721
A Novel Blind Image Watermarking Technique for Colour RGB Images in the DCT Domain Using Green Channel
54-59
6.Cnf-741 Paper View Page
Title BNWSN: Bayesian network trust model for wireless sensor networks
Authors Dr. Mohammad Momani, University of Technology Sydney, Sydney, Australia
Subhash Challa, , ,
Dr. Rami Al-Hmouz, Isra University, Amman, Jordan
Abstract In this paper we extend our previously designed trust model in wireless sensor networks to include both; communication trust and data trust. It has been argued that if the overall trust is based on just one trust component, then it might mislead the network, and result in total breakdown of the network. Hence we introduce a new Bayesian network trust model to combine more than one trust component; communication trust and data trust in our case; to produce the overall trust. The model is robust and generic, which allows more trust components to be added to and/or removed from the model very easily.
Track CCAT: Communications and Computer Applications and Technologies
Conference 2nd Mosharaka International Conference on Communications, Computers and Applications (MIC-CCA 2008)
Congress 2008 Global Congress on Communications, Computers and Applications (GC-CCA 2008), 8-10 August 2008, Amman, Jordan
Pages --1
Topics
ISSN 2227-331X
DOI
BibTeX @inproceedings{741CCA2008,
title={BNWSN: Bayesian network trust model for wireless sensor networks},
author={Mohammad Momani, and Subhash Challa, and Rami Al-Hmouz},
booktitle={2008 Global Congress on Communications, Computers and Applications (GC-CCA 2008)},
year={2008},
pages={--1},
doi={}},
organization={Mosharaka for Research and Studies} }
Paper Views 52 Paper Views Rank 290/524
Paper Downloads 9 Paper Downloads Rank 410/524
GC-CCA 2008 Visits: 139||MIC-CCA 2008 Visits: 112||CCAT Track Visits: 43