A Role-Based Software Architecture to Support Mobile Service Computing in IoT Scenarios.

Area of Science:

• Computer Science
• Electrical Engineering
• Network Engineering

Background:

• Internet of Things (IoT) systems require reliable, low-latency communication between components.
• Existing solutions often rely on expensive dedicated networks, especially for unstable communication links with uncertain Quality of Service (QoS).
• Real-time interaction support in unstable IoT communication links remains a significant research challenge.

Purpose of the Study:

• To present an alternative communication model for IoT systems that supports soft real-time interaction.
• To address the challenge of real-time communication over unstable or poor Quality of Service (QoS) links.
• To offer a more robust and potentially cost-effective solution compared to dedicated networks.

Main Methods:

• Development of a novel communication model for IoT components.
• Validation of the model's behavior using state machine theory.
• Analysis of soft real-time interaction capabilities in the proposed model.

Main Results:

• The proposed model enables soft real-time interaction among IoT components, even under unstable link conditions.
• State machine theory validation confirms the model's predictable behavior.
• The research opens avenues for new smart distributed solutions in IoT.

Conclusions:

• The developed model provides a viable alternative for real-time IoT communication over unreliable networks.
• This work advances the state-of-the-art in IoT communication protocols and distributed systems.
• The findings suggest a new direction for developing resilient and efficient IoT infrastructures.