Dynamic (2, 1, 8) Convolutional Coding Algorithm for Data Correction and Security Enhancement in an Intelligent Urban Traffic Management System

Abstract

This paper presents an application of a dynamic (2, 1, 8) convolutional encoding and Viterbi decoding for data correction and security enhancement in an Intelligent Urban Traffic Management System. The 5.8GHz Wireless Local Area Network (WLAN) system is employed, where the traffic data are transmitted among adjacent traffic intersections and a traffic control centre. Long distance and environmental factors such as bad weather and noise can critically influence the performance of the wireless link especially in the aspect of Bit Error Rate (BER). A dynamic non-systematic (2, 1, 8) convolutional coding with unique configuration is developed as an error-correction mechanism to reduce the BER. The design of a convolution code can be customized to any suitable configuration to enhance the security of the transmitted data. The dynamic design has the ability to automatically change the configuration of both encoder and decoder based on a few bits of initial input data to the encoder. This new dynamic design is unlike the current existing fixed configuration convolutional encoder and Viterbi decoder. Thus, it strengthens the overall security of the transmitted data over the wireless link. Viterbi decoding is used as it yields the maximum likelihood decoding of the convolutional code.

Keywords: Dynamic convolution encoding, Viterbi Algorithm, and 5.8 GHz Wireless Local Area Network.

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Biographies:

Lim Juleen, (jlim@walla.com) is currently a Radio Frequency (RF) Product Engineer in Freescale Semiconductor (a manufacturing company). She received the B. Eng (Hons) Communication and Electronic Engineering from University of Northumbria, Newcastle, United Kingdom, in 1999. She is pursuing Master of Electrical Engineering by Research, in Universiti Tenaga Nasional, Malaysia with the research entitled “Performance of Data Transmission Over Wireless Channel in an Intelligent Urban Traffic Management System”. Her research interest includes error-correction coding, and wireless communication. She is a Corporate Member of The Institution of Engineers, Malaysia (MIEM) since July 2005 and a Professional Engineer in Electronics with the Board of Engineers Malaysia (BEM) since December 2005.

Tiong Sieh Kiong, (siehkiong@uniten.edu.my) is currently lecturer with the Department of Electrical, Electronics Engineering, Universiti Tenaga Nasional in Malaysia. He received the B.Sc. degree in Electrical and Electronics Engineering from Universiti Kebangsaan Malaysia in 1997, the M.Sc. degree in Communication Engineering from Universiti Kebangsaan Malaysia in 1987, and the Ph.D. from Universiti Kebangsaan Malaysia in 2006. His research interest includes mobile communication, wireless networking and artificial intelligent. He is committee member of IEEE Communication Society, Malaysia, holding the post of treasurer.

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