Regression based prediction algorithm for remote controlling of IoT based applications

The growing paradigm of Internet of Things (IoT), has necessitated the development of new and improved monitoring and control methodologies for applications which were hitherto subjected to the constraints of a local control system. This paper proposes a predictive system to monitor and control embe...

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Bibliographic Details
Published in:2015 International Conference on Computing and Network Communications (CoCoNet) pp. 299 - 303
Main Authors: Wagle, Satyavrat, Sathe, Tejas, Vamburkar, Gandhar, Gaikaiwari, Anand
Format: Conference Proceeding
Language:English
Published: IEEE 01.12.2015
Subjects:
Artificial Intelligence
Control systems
Internet of things
Linear regression
Moisture
Predictive Algorithms
Sensors
Servers
Soil
Online Access:Get full text
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Summary:The growing paradigm of Internet of Things (IoT), has necessitated the development of new and improved monitoring and control methodologies for applications which were hitherto subjected to the constraints of a local control system. This paper proposes a predictive system to monitor and control embedded applications linked to IoT. A brief introduction of Internet of Things and its resultant effects on control system design are discussed followed by an overview of regression systems. Next, we present a prototype model implementing a regression based control system model, and the inferences from the data it has generated on execution. Finally, we discuss the possible modifications and application areas of regression based processes in IoT.
DOI:10.1109/CoCoNet.2015.7411202