Salehe I. Mrutu

Work place: School of Computational and Communication Science and Engineering, Nelson Mandela Institution of Science and Technology, Arusha, Tanzania

E-mail: smrutu@gmail.com

Website:

Research Interests: Computational Science and Engineering, Computer Architecture and Organization, Computer Networks, Data Structures and Algorithms

Biography

Salehe I. Mrutu received his B.Sc. and M.Sc. degrees in Computer Science from The International University of Africa in 2003 and the University of Gezira in 2006 respectively. He is currently a Ph.D. student at the school of Computational and Communicational Sciences and Engineering of the Institution of Science and Technology (NM-AIST) in Arusha, Tanzania. He is also serving as assistant lecturer at the University of Dodoma (UDOM) under the school of Informatics since 2007. His research interests include forward error correction codes, quality-of-service provisioning and resource management for multimedia communications networks.

Author Articles
Forward Error Correction Convolutional Codes for RTAs’ Networks: An Overview

By Salehe I. Mrutu Anael Sam Nerey H. Mvungi

DOI: https://doi.org/10.5815/ijcnis.2014.07.03, Pub. Date: 8 Jun. 2014

For more than half a century, Forward Error Correction Convolutional Codes (FEC-CC) have been in use to provide reliable data communication over various communication networks. The recent high increase of mobile communication services that require both bandwidth intensive and interactive Real Time Applications (RTAs) impose an increased demand for fast and reliable wireless communication networks. Transmission burst errors; data decoding complexity and jitter are identified as key factors influencing the quality of service of RTAs implementation over wireless transmission media. This paper reviews FEC-CC as one of the most commonly used algorithm in Forward Error Correction for the purpose of improving its operational performance. Under this category, we have analyzed various previous works for their strengths and weaknesses in decoding FEC-CC. A comparison of various decoding algorithms is made based on their decoding computational complexity.

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