| Issue |
EPJ Web Conf.
Volume 162, 2017
International Conference on Applied Photonics and Electronics 2017 (InCAPE2017)
|
|
|---|---|---|
| Article Number | 01073 | |
| Number of page(s) | 4 | |
| DOI | https://doi.org/10.1051/epjconf/201716201073 | |
| Published online | 22 November 2017 | |
https://doi.org/10.1051/epjconf/201716201073
Study on data compression algorithm and its implementation in portable electronic device for Internet of Things applications
School of Microelectronic Engineering, Universiti Malaysia Perlis, Pauh Putra Campus, 02600 Arau, Perlis, Malaysia
* Corresponding author: asilah.khairi91@gmail.com
Published online: 22 November 2017
An Internet of Things (IoT) device is usually powered by a small battery, which does not last long. As a result, saving energy in IoT devices has become an important issue when it comes to this subject. Since power consumption is the primary cause of radio communication, some researchers have proposed several compression algorithms with the purpose of overcoming this particular problem. Several data compression algorithms from previous reference papers are discussed in this paper. The description of the compression algorithm in the reference papers was collected and summarized in a table form. From the analysis, MAS compression algorithm was selected as a project prototype due to its high potential for meeting the project requirements. Besides that, it also produced better performance regarding energy-saving, better memory usage, and data transmission efficiency. This method is also suitable to be implemented in WSN. MAS compression algorithm will be prototyped and applied in portable electronic devices for Internet of Things applications.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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