Cited by 60IoT and Edge/Fog ComputingIoT Networks and ProtocolsEnergy Efficient Wireless Sensor Networks

Data-driven event triggering for IoT applications

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Kolios, Panayiotis, Panayiotou, Christos, Ellinas, Georgios, Polycarpou, Marios·2016·IEEE Internet of Things Journal

Abstract

Event-triggering (ET) is an up-and-coming technological paradigm for monitoring, optimization, and control in the Internet of Things (IoT) that achieves improved levels of operational efficiency. This paper first defines the envisioned ET architecture for the IoT domain. It then classifies and reviews the various different ET approaches obtained from the available literature for the three phases of ET, namely behavior modeling, event detection, and event handling. Thereafter, a novel data-driven technique is developed to address all three phases of ET in an efficient and reliable manner. Finally, the applicability of the proposed data-driven technique is showcased in a real-world public transport scenario, demonstrating a substantial improvement in energy and spectrum efficiency compared to existing periodic techniques.

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Crossref · 10.1109/jiot.2016.2564428

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Authors
Kolios, P., Panayiotou, C., Ellinas, G., & Polycarpou, M.
Affiliations
University of Cyprus (CY)
Venue
IEEE Internet of Things Journal
Published
2016-12
Volume
3
Issue
6
Pages
1146-1158
ISSN
2327-4662 (ISSN-L)
OpenAlex
W2345335030
Cited by
60
References
55
Citations by year
2026: 1 · 2025: 5 · 2024: 4 · 2023: 8 · 2022: 10 · 2021: 6 · 2020: 4 · 2019: 11 · 2018: 6 · 2017: 4 · 2016: 1
FWCI
6.92
Type
journal article
Language
en
Open access
Locations
  • IEEE Internet of Things Journal (publishedVersion)
  • Zenodo (CERN European Organization for Nuclear Research) (submittedVersion, cc-by-sa)
Funders
European Research Council (FAULT-ADAPTIVE ERC-2011-AdG-291508)
Topics
  • Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › IoT Networks and Protocols
  • Physical Sciences › Computer Science › Computer Networks and Communications › Energy Efficient Wireless Sensor Networks
Keywords
event triggering, Internet of Things, behavioral modeling, event detection, event handling, public transport monitoring, energy efficiency, spectral efficiency

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