Social media and efficient computer infrastructure in smart city

Social media require an efficient infrastructures of computer and communication systems to support a smart city. In a big city, there are several crucial dilemmas with a home and public space planning, a growing population, a global warming, carbon emissions, a lack of key resources like water and e...

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Main Authors: Balicki Jerzy, Balicka Honorata, Dryja Piotr, Tyszka Maciej
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:SHS Web of Conferences
Online Access:https://doi.org/10.1051/shsconf/20185701003
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spelling doaj-16175d1a482049e89e154c0bfcd701d92021-02-02T07:49:11ZengEDP SciencesSHS Web of Conferences2261-24242018-01-01570100310.1051/shsconf/20185701003shsconf_infoglob2018_01003Social media and efficient computer infrastructure in smart cityBalicki Jerzy0Balicka Honorata1Dryja Piotr2Tyszka Maciej3Warsaw University of Technology, Faculty of Mathematics and Information SciencesGdynia Maritime University, Faculty of Management and CommodityGdańsk University of Technology, Faculty of Electronics, Telecommunication and InformaticsGdańsk University of Technology, Faculty of Electronics, Telecommunication and InformaticsSocial media require an efficient infrastructures of computer and communication systems to support a smart city. In a big city, there are several crucial dilemmas with a home and public space planning, a growing population, a global warming, carbon emissions, a lack of key resources like water and energy, and a traffic congestion. In a smart city, we expect an efficient and sustainable transportation, efficient management of resources and a better urban planning. In this paper, social media are proposed to support smart city with efficient computer infrastructure. Moreover, some methods are described to increase the availability and efficiency of an information infrastructure. Two criteria have been formulated to assign some key resources in a smart city system. The process of finding some compromise solutions from Pareto-optimal solutions has been illustrated. Metaheuristics o f collective intelligence, including particle swarm optimization PSO, ant colony optimization ACO, an algorithm of bee colony ABC, and differential evolution DE have been described due to smart city infrastructure improving. Other application of above metaheuristics in smart city have been also presented.https://doi.org/10.1051/shsconf/20185701003
collection DOAJ
language English
format Article
sources DOAJ
author Balicki Jerzy
Balicka Honorata
Dryja Piotr
Tyszka Maciej
spellingShingle Balicki Jerzy
Balicka Honorata
Dryja Piotr
Tyszka Maciej
Social media and efficient computer infrastructure in smart city
SHS Web of Conferences
author_facet Balicki Jerzy
Balicka Honorata
Dryja Piotr
Tyszka Maciej
author_sort Balicki Jerzy
title Social media and efficient computer infrastructure in smart city
title_short Social media and efficient computer infrastructure in smart city
title_full Social media and efficient computer infrastructure in smart city
title_fullStr Social media and efficient computer infrastructure in smart city
title_full_unstemmed Social media and efficient computer infrastructure in smart city
title_sort social media and efficient computer infrastructure in smart city
publisher EDP Sciences
series SHS Web of Conferences
issn 2261-2424
publishDate 2018-01-01
description Social media require an efficient infrastructures of computer and communication systems to support a smart city. In a big city, there are several crucial dilemmas with a home and public space planning, a growing population, a global warming, carbon emissions, a lack of key resources like water and energy, and a traffic congestion. In a smart city, we expect an efficient and sustainable transportation, efficient management of resources and a better urban planning. In this paper, social media are proposed to support smart city with efficient computer infrastructure. Moreover, some methods are described to increase the availability and efficiency of an information infrastructure. Two criteria have been formulated to assign some key resources in a smart city system. The process of finding some compromise solutions from Pareto-optimal solutions has been illustrated. Metaheuristics o f collective intelligence, including particle swarm optimization PSO, ant colony optimization ACO, an algorithm of bee colony ABC, and differential evolution DE have been described due to smart city infrastructure improving. Other application of above metaheuristics in smart city have been also presented.
url https://doi.org/10.1051/shsconf/20185701003
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AT balickahonorata socialmediaandefficientcomputerinfrastructureinsmartcity
AT dryjapiotr socialmediaandefficientcomputerinfrastructureinsmartcity
AT tyszkamaciej socialmediaandefficientcomputerinfrastructureinsmartcity
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