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Manchester coding of compressed binary clusters for reducing IoT healthcare device's digital data transfer time
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 Title & Authors
Manchester coding of compressed binary clusters for reducing IoT healthcare device's digital data transfer time
Kim, Jung-Hoon;
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 Abstract
This study's aim is for reducing big data transfer time of IoT healthcare devices by modulating digital bits into Manchester code including zero-voltage idle as information for secondary compressed binary cluster's compartment after two step compression of compressing binary data into primary and secondary binary compressed clusters for each binary clusters having compression benefit of 1 bit or 2 bits. Also this study proposed that as department information of compressed binary clusters, inserting idle signal into Manchester code will have benefit of reducing transfer time in case of compressing binary cluster into secondary compressed binary cluster by 2 bits, because in spite of cost of 1 clock idle, another 1 bit benefit can play a role of reducing 1 clock transfer time. Idle signal is also never consecutive because the signal is for compartment information between two adjacent secondary compressed binary cluster. Voltage transition on basic rule of Manchester code is remaining while inserting idle signal, so DC balance can be guaranteed. This study's simulation result said that even compressed binary data by another compression algorithms could be transferred faster by as much as about 12.6 percents if using this method.
 Keywords
Binary cluster;Data compression;Line coding;Manchester Coding;Big Data;
 Language
Korean
 Cited by
1.
Development of Mobility and Vitality Signal Monitoring System Based on ZigBee-PSTN Gateway for the Elderly, The Journal of Korea Institute of Information, Electronics, and Communication Technology, 2016, 9, 1, 9  crossref(new windwow)
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