Study on data compression algorithm and its implementation in portable electronic device for Internet of Things applications

Abstract

Abstract. 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 energysaving, 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.

Design an efficient internet of things data compression for healthcare applications

“…By deleting unneeded or less essential data, lossy compression decreases the number of bits [13], [14]. IoT environment produce huge amounts of information and IoT networks do not have sufficient bandwidth due to constrained resources [15]. To save IoT network bandwidth and prevent network congestion issues, and network overhead, so the IoT data must be compressed prior to transmission to decrease size of transmitted data [16], [17].…”