Transparent Rule Enablement Based on Commonization Approach in Heterogeneous IoT Edge Networks

Area of Science:

• Computer Science
• Network Engineering
• Distributed Systems

Background:

• The Internet of Things (IoT) and edge computing integrate numerous heterogeneous devices at the network edge for environmental monitoring and control.
• Rule-enabled IoT edge platforms execute service scenarios by filtering events for automated control actions.
• Heterogeneity in IoT edge networks poses challenges in deploying consistent rule contexts across diverse platforms due to differing protocols and data formats.

Purpose of the Study:

• To propose a transparent rule enablement approach for consistent rule scenarios in heterogeneous IoT edge networks.
• To address the difficulties in deploying uniform rule contexts across diverse IoT edge platforms.
• To facilitate dynamic and automated event reactions within complex IoT environments.

Main Methods:

• Introduction of the IoT Edge Rule Agent Platform (IERAP) utilizing a commonization approach.
• Deployment of device proxies within IERAP to abstract platform-specific protocols and data formats.
• Translation of rules into common formats by device proxies for seamless deployment on heterogeneous IoT edge platforms.

Main Results:

• Achieved consistent rule scenario operation across multiple heterogeneous IoT edge platforms.
• Enabled transparent rule deployment irrespective of underlying platform protocols and data formats.
• Demonstrated the effectiveness of the commonization approach in overcoming IoT heterogeneity.

Conclusions:

• The proposed IERAP facilitates consistent rule scenarios in heterogeneous IoT edge networks through transparent rule enablement.
• Device proxies effectively manage protocol and data format differences, ensuring uniform rule execution.
• This approach enhances the automation and control capabilities of IoT edge environments by simplifying rule deployment.