A Methodology for the Design of Application-Specific Cyber-Physical Social Sensing Co-Simulators.

Area of Science:

• Computer Science
• Systems Engineering
• Pervasive Sensing

Background:

• Cyber-Physical Social Sensing (CPSS) integrates diverse domains, necessitating unified simulation approaches.
• Current independent domain simulations lack co-simulation capabilities due to integration complexities.
• Effective design and validation tools are crucial for evolving CPSS applications.

Purpose of the Study:

• To propose a methodology for designing Cyber-Physical Social Sensing (CPSS) co-simulation tools.
• To provide software architects with a structured approach for developing adequate co-simulators.
• To address the challenges of combining and synchronizing disparate simulation tools.

Main Methods:

• Investigating and proposing a four-step methodology for CPSS co-simulator design.
• Considering user needs, application requirements, and development team experience.
• Developing a practical use case and conducting experimental validation.

Main Results:

• A practical methodology for designing CPSS co-simulation tools has been developed.
• The proposed methodology facilitates the creation of adequate co-simulators for specific applications.
• Experimental validation confirmed the performing and correctness of the developed co-simulator.

Conclusions:

• The proposed methodology simplifies the design of CPSS co-simulation tools.
• This approach enables more effective validation and simulation of complex CPSS systems.
• The study provides a foundation for future advancements in CPSS tool development.