Column-based Replication Control Scheme using Variable Compression and IoT Edge Gateway

Authors

  • Siwoo Byun

DOI:

https://doi.org/10.17762/msea.v71i3.183

Abstract

IoT edge computing reduces cloud computing's overload that redirect local data to a central data center. This research proposes a new reliable data management scheme using IoT edge storage.Because IoT sensor network uses unstable wireless media and narrow bandwidth, IoT applications could suffer from unreliable and ill-timed data services. IoT data replication canimprove data availability because each sensor node can use its own data. Therefore, efficient replication scheme is much more important in sensor network environment rather than in typical distributed environment.

The purpose of using sensors is to check if the desired devices is functioning normally within acceptable range or if abnormal events have occurred. Therefore, it is not necessary to deliver too much detailed values to the server if they are within the allowable range. It is much more efficient to break down the overall range of sensor values into different interval units. Proposedvariable scaling method can reduce the amount of data communication and storage capacity by replicating only the shorten code of the multi-scale area rather than fixed scaling depending on the context of the sensor data.

The differences between proposed replication schemeand previous schemeare as follows. First, proposed schemecopies the replicated data inside the remote IoT edge. Second, the sensor data being replicated is a column-based compressed version, not the same as the original. Third, the replicated sensor data is stored at a lower resolution than the original.Experiments show that the size of the sensor data can be minimizedto14%.Since proposed scheme can supportefficientdata servicefor unstable IoT environments, it can be used for reliable sensor monitoring applications.

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Published

2022-06-09

How to Cite

Siwoo Byun. (2022). Column-based Replication Control Scheme using Variable Compression and IoT Edge Gateway. Mathematical Statistician and Engineering Applications, 71(3), 456 –. https://doi.org/10.17762/msea.v71i3.183

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Articles