Modeling of Smart City Building Blocks Using Multi-Agent Systems

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F17%3A00312998" target="_blank" >RIV/68407700:21260/17:00312998 - isvavai.cz</a>

Result on the web

<a href="http://www.nnw.cz/doi/2017/NNW.2017.27.018.pdf" target="_blank" >http://www.nnw.cz/doi/2017/NNW.2017.27.018.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.14311/NNW.2017.27.018" target="_blank" >10.14311/NNW.2017.27.018</a>

Result language

angličtina

Original language name

Modeling of Smart City Building Blocks Using Multi-Agent Systems

Original language description

Technology has undergone rapid development in the past several decades and we are now at a point where many technologies are available to help create smart cities. Many technology companies and research institutions as well as political organizations are currently discussing this field with the highest priority. One can say that the biggest challenge to smart cities is not technologies themselves, but the merging of all available technologies into one symbiotic unit that fulfills the expected objectives. Smart cities are about connecting subsystems, sharing and evaluating data, and providing quality of life and satisfaction to citizens. We have various models of transportation systems, optimizations of energy usage, street lighting systems, building management systems, urban transport optimizations, however currently, such models are dealt with separately. In this paper, we provide an overview of the smart city concept and discuss why Multi-agent systems are the right tool for the modeling of smart cities. The biggest challenge is in connecting and linking particular subsystems within a smart city. In this paper, a modeling of a smart city building blocks is provided and demonstrated with one particular example -- a smart street lighting system. Focus will be on the decomposition of the system into subsystems as well as a description of particular modules. We propose to build models and since each individual entity can be modeled as an agent with its beliefs, desires and intentions, we suggest using Multi-agent systems as a tool for modeling systems` connections within the smart city and assessing how best to use the data from those systems.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Neural Network World

ISSN

1210-0552

e-ISSN

—

Volume of the periodical

2017

Issue of the periodical within the volume

27

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

15

Pages from-to

317-331

UT code for WoS article

000410411900001

EID of the result in the Scopus database

2-s2.0-85028696974