Performance evaluation of publish-subscribe systems in IoT using energy-efficient and context-aware secure messages

Area of Science:

• Computer Science
• Electrical Engineering

Background:

• The Internet of Things (IoT) facilitates innovative applications across healthcare, transportation, and Industry 4.0.
• Publish-subscribe systems are crucial for IoT device-to-cloud communication.
• IoT applications require context-aware messages for cognitive processing, and end-to-end security is vital but challenging for constrained devices.

Purpose of the Study:

• To evaluate the performance of a standardized message structure for publish-subscribe systems in IoT.
• To propose a standardized format for topics and payloads in IoT publish-subscribe communication.
• To address the need for energy efficiency and secure message delivery in IoT.

Main Methods:

• Performance evaluation of a novel message structure for publish-subscribe systems.
• Standardization of message topics and payloads for IoT devices and cloud platforms.
• Analysis of energy efficiency and security aspects of the proposed message structure.

Main Results:

• The standardized messages significantly improve energy efficiency, supporting ultra-low-power and high-capacity IoT devices.
• Reduced data transmission (bytes) in the IoT domain was achieved.
• The proposed structure is compatible with existing publish-subscribe systems like AMQP, DDS, and MQTT.

Conclusions:

• The developed message system promotes energy efficiency and reduces data transmission for constrained IoT devices.
• The performance evaluation confirms the viability of the energy-efficient message structure for major IoT publish-subscribe protocols.
• The system ensures end-to-end confidentiality, integrity, and authenticity for messages between IoT devices and the cloud.