Design of a Huffman Data Encoder Architecture

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Main Authors:	Nor Alina, Khairi, Asral Bahari, Jambek, Nor Asilah, Khairi
Other Authors:	noralina89@gmail.com
Format:	Article
Language:	English
Published:	Universiti Malaysia Perlis (UniMAP) 2018
Subjects:	Wireless sensor node Huffman architecture Reduce energy Power consumption
Online Access:	http://dspace.unimap.edu.my:80/xmlui/handle/123456789/57754
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Institution:	Universiti Malaysia Perlis
Language:	English

id	my.unimap-57754
record_format	dspace
spelling	my.unimap-577542018-12-25T06:40:39Z Design of a Huffman Data Encoder Architecture Nor Alina, Khairi Asral Bahari, Jambek Nor Asilah, Khairi noralina89@gmail.com Wireless sensor node Huffman architecture Reduce energy Power consumption Link to publisher's homepage at http://ijneam.unimap.edu.my Wireless sensor networks (WSNs) are important in today’s technology for helping to monitor our environment. WSNs are widely used in military, medical and industrial environments. It is capable of monitoring, collecting and transmitting data to a primary server wirelessly. Wireless sensor nodes are powered by a limited energy supply such as a small battery or an energy harvester that generally produces a small amount of energy. To extend the lifetime of the device, energy consumption must be reduced. Data transmission is known to consume the largest percentage of energy in a sensor node. One method for reducing energy is by compressing the data prior to transmitting it. This study analyses the performance of the Huffman architecture in terms of compressing data that are commonly used in wireless sensor nodes. The primary module in the architecture comprises a data retriever, frequency calculator, probability calculator, Huffman tree generator and Huffman code generator. From the experimental results, the Huffman circuit architecture simulation consumed 51394 clock cycles to completely compress 366 data samples, using 3.729mW of power consumption. Based on a 20MHz clock frequency, this is equivalent to 9.5824μJ of energy consumption. Based on our analyses, the Huffman tree generator consumed the most power at 1.184mW, equivalent to 31.75% of overall power consumption. 2018-12-25T06:40:39Z 2018-12-25T06:40:39Z 2018-10 Article International Journal of Nanoelectronics and Materials, vol.11(4), 2018, pages 517-528 1985-5761 (Printed) 1997-4434 (Online) http://dspace.unimap.edu.my:80/xmlui/handle/123456789/57754 http://ijneam.unimap.edu.my en Universiti Malaysia Perlis (UniMAP)
institution	Universiti Malaysia Perlis
building	UniMAP Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Perlis
content_source	UniMAP Library Digital Repository
url_provider	http://dspace.unimap.edu.my/
language	English
topic	Wireless sensor node Huffman architecture Reduce energy Power consumption
spellingShingle	Wireless sensor node Huffman architecture Reduce energy Power consumption Nor Alina, Khairi Asral Bahari, Jambek Nor Asilah, Khairi Design of a Huffman Data Encoder Architecture
description	Link to publisher's homepage at http://ijneam.unimap.edu.my
author2	noralina89@gmail.com
author_facet	noralina89@gmail.com Nor Alina, Khairi Asral Bahari, Jambek Nor Asilah, Khairi
format	Article
author	Nor Alina, Khairi Asral Bahari, Jambek Nor Asilah, Khairi
author_sort	Nor Alina, Khairi
title	Design of a Huffman Data Encoder Architecture
title_short	Design of a Huffman Data Encoder Architecture
title_full	Design of a Huffman Data Encoder Architecture
title_fullStr	Design of a Huffman Data Encoder Architecture
title_full_unstemmed	Design of a Huffman Data Encoder Architecture
title_sort	design of a huffman data encoder architecture
publisher	Universiti Malaysia Perlis (UniMAP)
publishDate	2018
url	http://dspace.unimap.edu.my:80/xmlui/handle/123456789/57754
_version_	1643805421879689216

Design of a Huffman Data Encoder Architecture

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