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A Model for the Remote Deployment, Update, and Safe Recovery for Commercial Sensor-Based IoT Systems
Alexandru Radovici1, Ioana Culic1, Daniel Rosner1
1Computer Science Department, Automatic Control and Computer Science Faculty, University Politehnica of Bucharest, 060042 Bucharest, Romania.
Sensors (Basel, Switzerland)
|August 13, 2020
Summary
This study introduces a secure remote software update system for Internet of Things (IoT) devices. The proposed model ensures reliable deployment and management of IoT systems, crucial for business operations.
Area of Science:
- Computer Science
- Engineering
Background:
- Internet of Things (IoT) systems are critical for business automation and data-driven decisions.
- Complex multi-layer architectures underpin IoT, requiring robust software on gateway devices.
- Secure and fail-safe remote updating is essential for large-scale commercial IoT deployments.
Purpose of the Study:
- To explore challenges in remote application deployment and management for IoT systems.
- To address management challenges specific to IoT sensor systems.
- To propose a mathematical model and methodology for secure IoT software updates.
Main Methods:
- Developed a mathematical model and methodology for remote IoT software updates.
- Implemented the model as a software infrastructure for commercial IoT products.
- Tested the system on 100 smart soda dispensing machines receiving 133 remote software updates each.
Main Results:
- 80% of IoT devices operated continuously for 250 days.
- 30% of operational devices experienced temporary update failures due to hardware limitations.
- The system successfully recovered 100% of temporary update failures through automatic rollback.
Conclusions:
- The proposed model and methodology provide a secure and fail-safe solution for IoT software updates.
- The system demonstrates efficiency in managing and updating distributed IoT sensor networks.
- This approach enhances the reliability and success of commercial IoT deployments.
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