Khazael, Behnam, Malazi, Hadi Tabatabaee and Clarke, Siobhan (2021) Complex Event Processing in Smart City Monitoring Applications. IEEE Access, 9. pp. 143150-143165. ISSN 2169-3536
Preview
HadiTabatabaeeSmart2021.pdf
Download (2MB) | Preview
Abstract
Managing multi-tenant edge devices with heterogeneous capabilities scattered across an urban
area requires significant communication and computing power, which is challenging when devices are also
resource-constrained. These devices play a crucial role in smart city monitoring systems by notifying various
municipal organizations about a wide range of ongoing complex events. Some recent approaches in complex
event processing use a publish-subscribe architectural pattern to decouple simple event producers from
complex event consumers. However, they did not fully address communication efficiency or diverse quality
of service (QoS) requirements in aggregating events. This paper proposes a new architecture that integrates
the publish-subscribe architectural pattern with software-defined network technology for urban monitoring
applications. The architecture enhances monitoring applications with capabilities of distributed processing
and detection of complex events. It also enables application developers to define QoS requirements and
supports the TESLA complex event specification language. The main focus of our work is on energy and
network efficiency. The simulation results demonstrate significant improvements in energy consumption and
data packet traffic compared to three close baselines.
Item Type: | Article |
---|---|
Keywords: | Fog computing; Internet of Things; edge computing; smart city; software-defined networking; publish-subscribe architecture; complex event detection; event-based system; |
Academic Unit: | Faculty of Science and Engineering > Research Institutes > Hamilton Institute |
Item ID: | 18616 |
Identification Number: | 10.1109/ACCESS.2021.3119975 |
Depositing User: | IR Editor |
Date Deposited: | 06 Jun 2024 13:40 |
Journal or Publication Title: | IEEE Access |
Publisher: | IEEE |
Refereed: | Yes |
Related URLs: | |
URI: | https://mural.maynoothuniversity.ie/id/eprint/18616 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
Repository Staff Only (login required)
Downloads
Downloads per month over past year