Analysis of Multi-dimensional IOT Based Data

Abstract

Internet of Things (IOT) is a worldwide network that interconnects different objects together. These objects are uniquely addressable via standard communication protocols. IOT that attempts to make the things’ information available on global scale if needed or when the information is required, therefore it needs a tool or a method to manipulate or manage such huge amount of data so that process efficiency is improved and also provide advanced intelligence to things’. The voluminous data has to be merged to provide a good quality of intelligence. Therefore, this paper proposes the number of methods that are adopted like – applications which can handle complex event processing tasks which are relevant to sensor networks, ELITE that facilitate data integration and quering of distributed data sources, Mining the frequent patterns using the Rough Set Theory method, and the multiple dimension fusion algorithm for IOT based data on partitioning. This paper includes the efficient methods that are used to gather and manage the data in order to improve the intelligence capabilities of things’ on Internet.

Authors and Affiliations

Swati S , Priya Ithape

Keywords

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  • EP ID EP28405
  • DOI -
  • Views 297
  • Downloads 4

How To Cite

Swati S, Priya Ithape (2016). Analysis of Multi-dimensional IOT Based Data. International Journal of Research in Computer and Communication Technology, 5(3), -. https://europub.co.uk/articles/-A-28405