TELKOMNIKA Telecommunication, Computing, Electronics and Control
An adaptive IoT architecture using combination of concept-drift and dynamic software product line engineering

TELKOMNIKA Telecommunication, Computing, Electronics and Control
An adaptive IoT architecture using combination of concept-drift and dynamic software product line engineering

Adaptive
Concept drift
Internet of things
Software architecture
Software product line

Internet of things (IoT) architecture needs to adapt autonomously to the
environment and operational to maintain their supreme services. One common
problem in the IoT architecture is to manage the reliability of data services,
such as sensors’ data, that only sending data to the collector via gateway. If
there is a disruption of services, then it is not easy to manage the system
reliability. To this, an adaptive environment which is based on software
reconfiguration creates a great challenge to provide better services. In this
work, the software product line engineering (SPLE) reconfigures the edge
devices via rules and software architecture. To identify disruption of data
services which can be detected based on anomaly and truncated data. Our work
makes use of concept drift to provide a recommendation to the system
manager. This is important to avoid misconfiguration in the system We
demonstrate our method using an open-source internet of things portal system
that integrated to a cluster of sensors which is attached to specific gateway
before the data are collected into a cloud storage for further processes. In
identifying drifting data, the adaptive sliding window (ADWIN) method
outperforms the Page-Hinkley (PH) with more selective identification and
sensitive reading.

I Made Murwantara, Pujianto Yugopuspito

http://journal.uad.ac.id/index.php/TELKOMNIKA

Jan 31, 2021

peri irawan

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