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- Title
An adaptive IoT architecture using combination of concept-drift and dynamic software product line engineering.
- Authors
Murwantara, I. Made; Pujianto Yugopuspito
- Abstract
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.
- Subjects
SOFTWARE product line engineering; CLOUD storage; INTERNET of things; SOFTWARE architecture; WEB portals; HEPATIC portal system
- Publication
Telkomnika, 2021, Vol 19, Issue 4, p1226
- ISSN
1693-6930
- Publication type
Article
- DOI
10.12928/TELKOMNIKA.v19i4.19012