Recent advances of data compression in Wireless Sensor Network

Ammar Y. Tuama, Mohamad A. Mohamed, Abdullah Muhammed, Zurina M. Hanapi, Rajina R. Mohamed, Khairul Azmi Abu Bakar 

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish
Pages (from-to)9002-9015
Number of pages14
JournalJournal of Engineering and Applied Sciences
Volume13
Issue number21
DOIs
Publication statusPublished - 1 Jan 2018

Fingerprint

Data compression
Wireless sensor networks
Data communication systems
Communication
Sensors
Disasters
Communication systems
Energy utilization
Bandwidth
Costs

Keywords

  • Approach
  • Disaster
  • Efficiency
  • Solution
  • Various
  • Wireless sensor networks

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Recent advances of data compression in Wireless Sensor Network. / Tuama, Ammar Y.; Mohamed, Mohamad A.; Muhammed, Abdullah; Hanapi, Zurina M.; Mohamed, Rajina R.; Abu Bakar , Khairul Azmi.

In: Journal of Engineering and Applied Sciences, Vol. 13, No. 21, 01.01.2018, p. 9002-9015.

Research output: Contribution to journalArticle

Tuama, Ammar Y. ; Mohamed, Mohamad A. ; Muhammed, Abdullah ; Hanapi, Zurina M. ; Mohamed, Rajina R. ; Abu Bakar , Khairul Azmi. / Recent advances of data compression in Wireless Sensor Network. In: Journal of Engineering and Applied Sciences. 2018 ; Vol. 13, No. 21. pp. 9002-9015.
@article{8d4673d2baa845a1b430bf435f64ce43,
title = "Recent advances of data compression in Wireless Sensor Network",
abstract = "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.",
keywords = "Approach, Disaster, Efficiency, Solution, Various, Wireless sensor networks",
author = "Tuama, {Ammar Y.} and Mohamed, {Mohamad A.} and Abdullah Muhammed and Hanapi, {Zurina M.} and Mohamed, {Rajina R.} and {Abu Bakar }, {Khairul Azmi}",
year = "2018",
month = "1",
day = "1",
doi = "10.3923/jeasci.2018.9002.9015",
language = "English",
volume = "13",
pages = "9002--9015",
journal = "Journal of Engineering and Applied Sciences",
issn = "1816-949X",
publisher = "Medwell Journals",
number = "21",

}

TY - JOUR

T1 - Recent advances of data compression in Wireless Sensor Network

AU - Tuama, Ammar Y.

AU - Mohamed, Mohamad A.

AU - Muhammed, Abdullah

AU - Hanapi, Zurina M.

AU - Mohamed, Rajina R.

AU - Abu Bakar , Khairul Azmi

PY - 2018/1/1

Y1 - 2018/1/1

N2 - 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.

AB - 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.

KW - Approach

KW - Disaster

KW - Efficiency

KW - Solution

KW - Various

KW - Wireless sensor networks

UR - http://www.scopus.com/inward/record.url?scp=85056643044&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85056643044&partnerID=8YFLogxK

U2 - 10.3923/jeasci.2018.9002.9015

DO - 10.3923/jeasci.2018.9002.9015

M3 - Article

AN - SCOPUS:85056643044

VL - 13

SP - 9002

EP - 9015

JO - Journal of Engineering and Applied Sciences

JF - Journal of Engineering and Applied Sciences

SN - 1816-949X

IS - 21

ER -