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Recent advances of data compression in wireless sensor network

Wireless Sensor Networks (WSNs) have emerged as one of the most promising wireless communication systems supporting wide variety of applications ranging from military tasks, healthcare, disaster prediction and indoor positioning. The low complexity and cost of the nodes result in constraints such as...

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Main Authors:	Tuama, Ammar Y., Mohamed, Mohamad Afendee, Muhammed, Abdullah, Mohd Hanapi, Zurina, Mohamed, Rajina R., Abu Bakar, Khairul A.
Format:	Article
Language:	English
Published:	Medwell Publishing 2018
Online Access:	http://psasir.upm.edu.my/id/eprint/73715/1/Recent%20advances%20of%20data%20compression%20in%20wireless%20sensor%20network.pdf http://psasir.upm.edu.my/id/eprint/73715/ https://medwelljournals.com/abstract/?doi=jeasci.2018.9002.9015
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spelling	my.upm.eprints.737152020-05-08T17:09:41Z http://psasir.upm.edu.my/id/eprint/73715/ Recent advances of data compression in wireless sensor network Tuama, Ammar Y. Mohamed, Mohamad Afendee Muhammed, Abdullah Mohd Hanapi, Zurina Mohamed, Rajina R. Abu Bakar, Khairul A. Wireless Sensor Networks (WSNs) have emerged as one of the most promising wireless communication systems supporting wide variety of applications ranging from military tasks, healthcare, disaster prediction and indoor positioning. The low complexity and cost of the nodes result in constraints such as computational power, communication bandwidth and battery power. Energy consumption is one of the most critical to WSN. In WSN communication, data transmission is considered the largest contributor to total energy exhaustion and apparently, it is influenced by the size of the data. Favorably, data compression can be used to reduce the amount of data that requires to be transmitted and hence prolongs sensor's lifetime. In this study, we survey various approaches, issues and challenges to WSN efficiency related to data compression discuss the effect of the data size on the sensor efficiency and how data compression algorithms can be used to address small size data transmission. Finally, recent approaches are reviewed with highlighting of advantages and disadvantages of each solution. Medwell Publishing 2018 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/73715/1/Recent%20advances%20of%20data%20compression%20in%20wireless%20sensor%20network.pdf Tuama, Ammar Y. and Mohamed, Mohamad Afendee and Muhammed, Abdullah and Mohd Hanapi, Zurina and Mohamed, Rajina R. and Abu Bakar, Khairul A. (2018) Recent advances of data compression in wireless sensor network. Journal of Engineering and Applied Sciences, 13 (21). 9002 - 9015. ISSN 1818-7803; ESSN: 1816-949X https://medwelljournals.com/abstract/?doi=jeasci.2018.9002.9015 10.36478/jeasci.2018.9002.9015
institution	Universiti Putra Malaysia
building	UPM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Putra Malaysia
content_source	UPM Institutional Repository
url_provider	http://psasir.upm.edu.my/
language	English
description	Wireless Sensor Networks (WSNs) have emerged as one of the most promising wireless communication systems supporting wide variety of applications ranging from military tasks, healthcare, disaster prediction and indoor positioning. The low complexity and cost of the nodes result in constraints such as computational power, communication bandwidth and battery power. Energy consumption is one of the most critical to WSN. In WSN communication, data transmission is considered the largest contributor to total energy exhaustion and apparently, it is influenced by the size of the data. Favorably, data compression can be used to reduce the amount of data that requires to be transmitted and hence prolongs sensor's lifetime. In this study, we survey various approaches, issues and challenges to WSN efficiency related to data compression discuss the effect of the data size on the sensor efficiency and how data compression algorithms can be used to address small size data transmission. Finally, recent approaches are reviewed with highlighting of advantages and disadvantages of each solution.
format	Article
author	Tuama, Ammar Y. Mohamed, Mohamad Afendee Muhammed, Abdullah Mohd Hanapi, Zurina Mohamed, Rajina R. Abu Bakar, Khairul A.
spellingShingle	Tuama, Ammar Y. Mohamed, Mohamad Afendee Muhammed, Abdullah Mohd Hanapi, Zurina Mohamed, Rajina R. Abu Bakar, Khairul A. Recent advances of data compression in wireless sensor network
author_facet	Tuama, Ammar Y. Mohamed, Mohamad Afendee Muhammed, Abdullah Mohd Hanapi, Zurina Mohamed, Rajina R. Abu Bakar, Khairul A.
author_sort	Tuama, Ammar Y.
title	Recent advances of data compression in wireless sensor network
title_short	Recent advances of data compression in wireless sensor network
title_full	Recent advances of data compression in wireless sensor network
title_fullStr	Recent advances of data compression in wireless sensor network
title_full_unstemmed	Recent advances of data compression in wireless sensor network
title_sort	recent advances of data compression in wireless sensor network
publisher	Medwell Publishing
publishDate	2018
url	http://psasir.upm.edu.my/id/eprint/73715/1/Recent%20advances%20of%20data%20compression%20in%20wireless%20sensor%20network.pdf http://psasir.upm.edu.my/id/eprint/73715/ https://medwelljournals.com/abstract/?doi=jeasci.2018.9002.9015
_version_	1669008828469870592
score	13.211869

Recent advances of data compression in wireless sensor network

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