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

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 propos...

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Veröffentlicht in:EPJ Web of conferences Jg. 162; S. 1073
Hauptverfasser: Khairi, Nor Asilah, Bahari Jambek, Asral
Format: Journal Article Tagungsbericht
Sprache:Englisch
Veröffentlicht: Les Ulis EDP Sciences 01.01.2017
Schlagworte:
Algorithms
Batteries
Data compression
Data transmission
Electronic devices
Energy conservation
Energy transmission
Internet of Things
Portable equipment
Power consumption
Radio communications
Transmission efficiency
ISSN:2100-014X, 2101-6275, 2100-014X
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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 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.
AbstractList 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.
Author Khairi, Nor Asilah
Bahari Jambek, Asral
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Cites_doi 10.1109/CCAA.2015.7148470
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10.1109/LCOMM.2008.080300
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SubjectTerms Algorithms
Batteries
Data compression
Data transmission
Electronic devices
Energy conservation
Energy transmission
Internet of Things
Portable equipment
Power consumption
Radio communications
Transmission efficiency
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