Reliability-aware Sensor Node Clustering Schemefor Reliable IoT Data Services
Siwoo Byun 

Siwoo Byun, Department of Software, Anyang University, Anyang dong, Manan-gu, Anyang, Korea.
Manuscript received on 18 June 2019 | Revised Manuscript received on 11 July 2019 | Manuscript Published on 17 July 2019 | PP: 888-891 | Volume-8 Issue-1C2 May 2019 | Retrieval Number: A11520581C219/2019©BEIESP
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Abstract: Sensor data management is a major component of the Internet of Things environment. The huge volume of data produced and transmitted from sensing devices can provide a lot of useful information but is often considered the next big data for future businesses. New col-umn-wise compression technology is mounted to the large data server because of its superior space efficiency. First, we bring forth a short overview through providing an analysis on IoT sensor net-works. Second, we discuss concept of efficient sensor data management to cope with unreli-able sensor nodes and communication failures. In this study, reliability-based dynamic clus-tering scheme and shadow copy management scheme are proposed to improve service relia-bility and performance for IoT data collection and motoring servers. In addition, column-wise compressed mirroring and modified synchronizing skills are used for shadow copy management to improve storage efficiency.The proposed dynamic clustering and shadow data management skills minimizes battery consumption and communication failures of unstable sensor nodes. Consequently, unneces-sary communication costs and battery energy can be reduced, and overall energy balance can be maintained in the sensor data network. We conclude that proposed cluster control scheme outperforms the previous storage control by performance and reliability factor.
Keywords: IoT, Shadow Copy, Clustering, Data Compression, Sensor Device, Sensor Database.
Scope of the Article: IoT