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Distributed Data Storage in the IoT: A Performance and Reliability Approach

Negar Taheri, Shahram Jamali

Abstract


Internet of things (IoT) includes a lot of key technologies; In this emerging field, wireless sensors have a key role to play in sensing and collecting measures on the surrounding environment. In the deployment of large scale observation systems in remote areas, when there is not a permanent connection with the Internet, the network requires distributed storage techniques for increasing amount of data storage which decreases probability of data loss. Unlike conventional networked data storage, distributed storage is constrained by the limited resources of the sensors. In this article, we will discuss strategies for, distributed data storage method by using PSO and K-means clustering mechanism organized with the binary decision tree C4.5 in the IoT area.


Keywords


IoT, Distributed Storage, Reliability, Energy Efficiency, PSO Algorithm, K-means, C4.5 Tree.

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