Message-Based Communication for Heterogeneous Internet of Things Systems.

Area of Science:

• Computer Science
• Networking
• Internet of Things

Background:

• The Internet of Things (IoT) encompasses diverse technologies, with unique application requirements necessitating custom implementations.
• Existing single-protocol IoT networks struggle to address the varied properties of different applications, limiting efficiency, security, and cost-effectiveness.
• Heterogeneous IoT systems, integrating diverse protocols and management solutions, are crucial for addressing these challenges.

Purpose of the Study:

• To propose a novel IoT message-based communication model designed for heterogeneous IoT systems.
• To achieve functional scalability and network management transparency, independent of the underlying communication protocols.
• To evaluate the proposed model's performance and impact on payload size and energy consumption.

Main Methods:

• Development of a message-based communication model for IoT protocols.
• Implementation of the model within a heterogeneous IoT system.
• Experimental assessment comparing the proposed model's payload size against the LwM2M standard.
• Analysis of the model's energy consumption and potential reduction strategies.

Main Results:

• The proposed communication model demonstrates functional scalability in a heterogeneous IoT system.
• Experimental results show a comparison of payload size with the LwM2M standard.
• The study discusses the energy consumption implications of the proposed model.

Conclusions:

• The developed IoT communication model offers a viable solution for achieving functional scalability and management transparency in heterogeneous environments.
• The model's performance, particularly concerning payload size and energy efficiency, warrants further investigation and optimization.
• This approach supports the integration of diverse IoT protocols, paving the way for more robust and adaptable IoT ecosystems.