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Performance Evaluation of ZigBee Transceivers using Convolutional Coding Technique

Hikmat N. Abdullah, Tariq M. Salman, Haider A.H. Alobaidy. Published in Information Systems.

Communications on Applied Electronics
Year of Publication: 2015
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Hikmat N. Abdullah, Tariq M. Salman, Haider A.H. Alobaidy
10.5120/cae2015651950

Hikmat N Abdullah, Tariq M Salman and Haider A H Alobaidy. Article: Performance Evaluation of ZigBee Transceivers using Convolutional Coding Technique. Communications on Applied Electronics 3(5):32-41, November 2015. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

@article{key:article,
	author = {Hikmat N. Abdullah and Tariq M. Salman and Haider A.H. Alobaidy},
	title = {Article: Performance Evaluation of ZigBee Transceivers using Convolutional Coding Technique},
	journal = {Communications on Applied Electronics},
	year = {2015},
	volume = {3},
	number = {5},
	pages = {32-41},
	month = {November},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}
}

Abstract

The aim of this paper is to evaluate the amount of improvement introduced in ZigBee transceivers when channel-coding methods are used. A MATLAB-Simulink model of the ZigBee transceiver that uses soft decision based Convolutional Coding (CC) at different code rates is proposed. It is observed from the simulation results that using convolutional coding in ZigBee transceiver gives better performance than the traditional ZigBee transceivers and that the convolutional code of code rate 1/8 gives the best performance as compared to other rates. In AWGN channel and at BER of 10-4, the maximum coding gains obtained over traditional system are 14dB and 13.5dB for OQPSK and BPSK (868-900MHz) based ZigBee respectively, while these gains are 23.5dB, 40.5dB and 19.5dB, 12.5dB in Rayleigh & Rician fading channels at the same BER respectively.

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Keywords

ZigBee transceivers, IEEE 802.15.4 standard, Wireless Sensor Networks (WSN), Soft decision based convolutional coding, MATLAB Simulink.