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Transactions on Emerging Telecommunications Technologies
Article . 2017 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2016
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
DBLP
Article . 2018
Data sources: DBLP
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Article . 2016
Data sources: DBLP
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SymbioCity: Smart cities for smarter networks

Authors: Federico Chiariotti; Massimo Condoluci; Toktam Mahmoodi; Andrea Zanella;

SymbioCity: Smart cities for smarter networks

Abstract

AbstractThe “Smart City” concept revolves around the idea of embodying cutting‐edge information and communication technology solutions in the very fabric of future cities to offer new and better services to citizens while lowering the city management costs in monetary, social, and environmental terms. In this framework, communication technologies are perceived as subservient to the Smart City services, providing the means to collect and process the data needed to make the services function. In this paper, we propose a new vision in which technology and Smart City services are designed to take advantage of each other in a symbiotic manner. According to this new paradigm, which we call “SymbioCity”, Smart City services can indeed be exploited to improve the performance of the same communication systems that provide them with data. Suggestive examples of this symbiotic ecosystem are discussed in this paper. The discussion is then substantiated in a proof‐of‐concept case study, where we show how the traffic monitoring service provided by the London Smart City initiative can be used to predict the density of users in a certain zone and optimize the cellular service in that area.

Countries
United Kingdom, Italy
Keywords

Computer Science - Networking and Internet Architecture, Networking and Internet Architecture (cs.NI), FOS: Computer and information sciences, Computer Science - Computers and Society, 330, Computers and Society (cs.CY), Electrical and Electronic Engineering, 025

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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    22
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
22
Top 10%
Top 10%
Top 10%
Green
bronze