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http://dx.doi.org/10.22156/CS4SMB.2020.10.12.015

Different Heterogeneous IoT Data Management Techniques for IoT Cloud Environments  

Cho, Sung-Nam (Korea Institute of Science and Technology Information)
Jeong, Yoon-Su (Department of information Communication Convergence Engineering, Mokwon University)
Publication Information
Journal of Convergence for Information Technology / v.10, no.12, 2020 , pp. 15-21 More about this Journal
Abstract
Although IoT systems are used in a variety of heterogeneous environments as cloud environments develop, all IoT devices are not provided with reliable protocols and services. This paper proposes an IoT data management technique that can extend the IoT cloud environment to an n-layer multi-level structure so that information collected from different heterogeneous IoT devices can be efficiently sorted and processed. The proposed technique aims to classify and process IoT information by transmitting routing information and weight information through wireless data link data collected from heterogeneous IoT devices. The proposed technique not only delivers information classified from IoT devices to the corresponding routing path but also improves the efficiency of IoT data processing by assigning priority according to weight information. The IoT devices used in the proposed technique use each other's reliable protocols, and queries for other IoT devices locally through a local cloud composed of hierarchical structures have features that ensure scalability because they maintain a certain cost.y channels of IoT information in order to make the most of the multiple antenna technology.
Keywords
Cloud; IoT; Data Management; Multi Access; Big data;
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