Dynamic Incremental Ensemble Fuzzy Classifier for Data Streams in Green Internet of Things

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

20 Scopus Citations
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Author(s)

  • Jun Jiang
  • Fagui Liu
  • Wing W. Y. Ng
  • Quan Tang
  • Quoc-Viet Pham

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)1316-1329
Number of pages14
Journal / PublicationIEEE Transactions on Green Communications and Networking
Volume6
Issue number3
Online published16 Feb 2022
Publication statusPublished - Sept 2022

Abstract

Due to the fast, dynamic, and continuous arrival of data streams in the green Internet of Things (IoT) environment, the probability distribution of data streams changes over time. In real IoT scenarios such as unmanned aerial vehicle (UAV) detection and smart light switch control, data distribution changes have reduced the trained model’s accuracy for data streams problems classification, making it challenging to detect UAV intruders and predict whether energy-saving lamps in smart buildings are on or off. In this paper, an incremental ensemble classification method is proposed to improve prediction accuracy for green IoT. Specifically, a fuzzy rule-based classifier is combined with a dynamic weighting algorithm for improving classification accuracy. Moreover, the model is updated by incrementally learning the characteristics of data streams, which can effectively handle concept drift caused by data distribution changes in data streams. Experimental evaluations of UAV intrusion detection, smart buildings, and other datasets show that the proposed approach yields 2% higher area under the curve (AUC) and geometric mean (G-mean) than existing methods on UAV Detection and Occupancy datasets and 5% higher AUC and G-mean on five benchmarking datasets. For all datasets, the proposed approach yields 50% faster average training time than other methods.

Research Area(s)

  • Adaptation models, Autonomous aerial vehicles, Classification, Data models, Data Streams, Heuristic algorithms, Internet of Things (IoT), Monitor, Monitoring, Sensor, Temperature sensors, Vehicle dynamics

Citation Format(s)

Dynamic Incremental Ensemble Fuzzy Classifier for Data Streams in Green Internet of Things. / Jiang, Jun; Liu, Fagui; Ng, Wing W. Y. et al.
In: IEEE Transactions on Green Communications and Networking, Vol. 6, No. 3, 09.2022, p. 1316-1329.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review