Reliability Prediction Modelling for Wireless Communication Networks

Mirtskhulava, Lela, Al-Majeed, Salah ORCID: 0000-0002-5932-9658 and Karam, Jalal (2019) Reliability Prediction Modelling for Wireless Communication Networks. In: IEEE SoutheastCon, April 11-14, Von Braun Centre in Huntsville, Alabama, USA. (Unpublished)

[img]
Preview
Text (Peer reviewed version)
6804 Al-Majeed (2019) Reliability Prediction Modelling for Wireless Communication Networks.pdf - Accepted Version
Available under License All Rights Reserved.

Download (535kB) | Preview

Abstract

Wireless Communication Networks reliability model is analysed in the given paper for studying and evaluating data transmission through unreliable wireless channel, subjected to distortions on the physical layer. The given model’s states are defined by the different kinds of time between neighbouring failures, which is distributed according to Erlang ratio. The method of enhance of reliability of transmission through unreliable wireless channel (WCH) is suggested and tackled through in depth mathematical modelling.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Wireless communication channel; Reliability; Erlang distribution; Erroneous packets
Related records:
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions: Schools and Research Institutes > School of Business, Computing and Social Sciences
Research Priority Areas: Applied Business & Technology
Depositing User: Susan Turner
Date Deposited: 10 May 2019 11:14
Last Modified: 13 Mar 2024 13:25
URI: https://eprints.glos.ac.uk/id/eprint/6804

University Staff: Request a correction | Repository Editors: Update this record

University Of Gloucestershire

Bookmark and Share

Find Us On Social Media:

Social Media Icons Facebook Twitter Google+ YouTube Pinterest Linkedin

Other University Web Sites

University of Gloucestershire, The Park, Cheltenham, Gloucestershire, GL50 2RH. Telephone +44 (0)844 8010001.