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CREATION
Title : The Development of IoT Compression Technique To Cloud
Author :

KARTIKA SARI (1) Dr. Mardhani Riasetiawan, SE Ak, M.T. (2)

Date : 0 2019
Keyword : Cloud; Internet of Things; Data Compression; Data Transmission Cloud; Internet of Things; Data Compression; Data Transmission
Abstract : The main problem of data transmission is how to reduce the length of data packet delivery, so it can reduce the time of sending data. One method that can be used to reduce the data size is by compressing the data size. Data compression is a technique for compressing data to get the data with smaller size than the original size so that it can shorten the data exchange time This study aims to develop the data compression techniques by modifying and combining the coding and modelling techniques based on the RAKE algorithm. This study testing experiments use 4 different methods in 5 different time-periods to determine the value of the compression, decompression efficiency parameters, and the data transmission time parameters. The result of this study is the data coding technique that using decimal to binary converter data and the modeling technique by calculating the residue from the sensor value will produce data in small sizes and get a compression efficiency value of 45%. For coding techniques using ASCII and modeling techniques with XOR operations will produce bigger size data and the compression efficiency value of 71%. In testing data decompression, the decompression efficiency value of 100%, there is no data loss.
Group of Knowledge : Ilmu Komputer
Original Language : English
Level : Internasional
Status :
Published
Document
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1 The Development of IoT Compression Technique To Cloud.pdf
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