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Recent advances of data compression in wireless sensor network


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


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.

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Additional Metadata

Item Type: Article
Divisions: Faculty of Computer Science and Information Technology
DOI Number: https://doi.org/10.36478/jeasci.2018.9002.9015
Publisher: Medwell Publishing
Keywords: Wireless sensor networks; Various; Efficiency; Solution; Disaster; Approach
Depositing User: Ms. Nida Hidayati Ghazali
Date Deposited: 08 May 2020 17:09
Last Modified: 08 May 2020 17:09
Altmetrics: https://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.36478/jeasci.2018.9002.9015
URI: http://psasir.upm.edu.my/id/eprint/73715
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