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Modeling the Internet of Things, Self-Organizing and Other Complex Adaptive Communication Networks: A Cognitive

Samreen Laghari1, Muaz A Niazi2

  • 1Computer Science Department, Islamabad Model College for Girls, Street #25, F-6/2, Islamabad, Pakistan.

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Agent-based modeling within the Cognitive Agent-based Computing (CABC) framework effectively models complex Internet of Things (IoT) network challenges. This approach successfully addresses issues like managing corporate network carbon footprints.

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Area of Science:

  • Computer Science
  • Network Engineering
  • Artificial Intelligence

Background:

  • Modern computer networks are expanding rapidly, incorporating diverse devices beyond traditional computers, leading to the "Internet of Things" (IoT).
  • The scale and complexity of these networks present significant challenges for traditional modeling and simulation approaches.

Purpose of the Study:

  • To investigate the utility of Agent-based Modeling (ABM) within the Cognitive Agent-based Computing (CABC) framework for addressing complex communication network problems.
  • To explore practical applications of modeling complex adaptive communication networks and environments (CACOONS).

Main Methods:

  • Employed Exploratory Agent-based Modeling (EABM) as a core component of the CABC framework.
  • Developed an autonomous multi-agent system architecture designed to manage carbon footprint within a corporate network.
  • Incorporated a company-specific computer usage policy to simulate realistic operational complexities.

Main Results:

  • Demonstrated that the CABC-based ABM approach is effective for modeling intricate problems within the IoT domain.
  • Validated that a multi-agent system can successfully solve the specific challenge of managing carbon footprints in networks.
  • Experimental results confirmed the feasibility and efficacy of the proposed modeling methodology.

Conclusions:

  • Agent-based Modeling, integrated within the CABC framework, offers a robust solution for tackling the inherent complexities of IoT networks.
  • The multi-agent system approach provides a viable and effective strategy for environmental sustainability initiatives, such as carbon footprint management in corporate networks.