Publication:
Recent advances of data compression in Wireless Sensor Network

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dc.citedby5
dc.contributor.authorTuama A.Y.en_US
dc.contributor.authorMohamed M.A.en_US
dc.contributor.authorMuhammed A.en_US
dc.contributor.authorHanapi Z.M.en_US
dc.contributor.authorMohamed R.R.en_US
dc.contributor.authorAbu Bakar K.A.en_US
dc.contributor.authorid57192896802en_US
dc.contributor.authorid57194596063en_US
dc.contributor.authorid25031823000en_US
dc.contributor.authorid56703027900en_US
dc.contributor.authorid56996859800en_US
dc.contributor.authorid55934169900en_US
dc.date.accessioned2023-05-29T06:56:05Z
dc.date.available2023-05-29T06:56:05Z
dc.date.issued2018
dc.description.abstractWireless 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 Journals, 2018.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.3923/jeasci.2018.9002.9015
dc.identifier.epage9015
dc.identifier.issue21
dc.identifier.scopus2-s2.0-85056643044
dc.identifier.spage9002
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85056643044&doi=10.3923%2fjeasci.2018.9002.9015&partnerID=40&md5=fc19a9a1ebabfc373ae5e7d3050092be
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/24149
dc.identifier.volume13
dc.publisherMedwell Journalsen_US
dc.sourceScopus
dc.sourcetitleJournal of Engineering and Applied Sciences
dc.titleRecent advances of data compression in Wireless Sensor Networken_US
dc.typeArticleen_US
dspace.entity.typePublication
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