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

Computer Networks have a tendency to grow at an unprecedented scale. Modern networks involve not only computers but also a wide variety of other interconnected devices ranging from mobile phones to other household items fitted with sensors. This vision of the "Internet of Things" (IoT) imp...

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Vydáno v:PloS one Ročník 11; číslo 1; s. e0146760
Hlavní autoři: Laghari, Samreen, Niazi, Muaz A.
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States Public Library of Science 26.01.2016
Public Library of Science (PLoS)
Témata:
Agent-based models
Analysis
Carbon
Carbon Footprint
Cellular telephones
Cognitive ability
Communication networks
Communications networks
Complexity
Computation
Computer and Information Sciences
Computer networks
Computer science
Computer Simulation
Computers
Computing Methodologies
Electronic devices
Energy efficiency
Engineering and Technology
Environmental impact
Information Services
Internet
Internet of Things
Microcomputers
Multiagent systems
Personal computers
Physical Sciences
Research and Analysis Methods
Studies
Pakistan
Islamabad Pakistan
United States > US
ISSN:1932-6203, 1932-6203
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Shrnutí:Computer Networks have a tendency to grow at an unprecedented scale. Modern networks involve not only computers but also a wide variety of other interconnected devices ranging from mobile phones to other household items fitted with sensors. This vision of the "Internet of Things" (IoT) implies an inherent difficulty in modeling problems. It is practically impossible to implement and test all scenarios for large-scale and complex adaptive communication networks as part of Complex Adaptive Communication Networks and Environments (CACOONS). The goal of this study is to explore the use of Agent-based Modeling as part of the Cognitive Agent-based Computing (CABC) framework to model a Complex communication network problem. We use Exploratory Agent-based Modeling (EABM), as part of the CABC framework, to develop an autonomous multi-agent architecture for managing carbon footprint in a corporate network. To evaluate the application of complexity in practical scenarios, we have also introduced a company-defined computer usage policy. The conducted experiments demonstrated two important results: Primarily CABC-based modeling approach such as using Agent-based Modeling can be an effective approach to modeling complex problems in the domain of IoT. Secondly, the specific problem of managing the Carbon footprint can be solved using a multiagent system approach.
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Competing Interests: The authors have declared that no competing interests exist.
Conceived and designed the experiments: MN. Performed the experiments: SL MN. Analyzed the data: SL MN. Contributed reagents/materials/analysis tools: SL MN. Wrote the paper: SL MN.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0146760