DAPS-A Web Based System for Predicting IoT Sensor Data
Date Issued
2017
Author(s)
Risteska Stojkoska, Biljana
Abstract
IoT systems are expected to generate
voluminous raw sensor measurements that require high
bandwidths to be transmitted to the clouds. IoT data
prediction is one solution to this issue. Yet, many algorithms
based on different models for times series prediction can be
used for this purpose. IoT developers have to choose among
many of them, since they perform differently for different
sensor measurements. In this paper, we present DAta
Prediction System (DAPS), a web-based online tool that helps
IoT developers to choose the most suitable data prediction
algorithms for their application.
voluminous raw sensor measurements that require high
bandwidths to be transmitted to the clouds. IoT data
prediction is one solution to this issue. Yet, many algorithms
based on different models for times series prediction can be
used for this purpose. IoT developers have to choose among
many of them, since they perform differently for different
sensor measurements. In this paper, we present DAta
Prediction System (DAPS), a web-based online tool that helps
IoT developers to choose the most suitable data prediction
algorithms for their application.
Subjects
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