Cloud, network and sensing in a Smart City, toward a cloud of meshed cooperative heterogeneous things - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Book Sections Year : 2019

Cloud, network and sensing in a Smart City, toward a cloud of meshed cooperative heterogeneous things

Valeria Loscrì
  • Function : Author
  • PersonId : 904280
Riccardo Petrolo
  • Function : Author

Abstract

With the increase of their population, cities must adapt to offer more efficient services and better life quality. ICT and Internet of Things are among the technologies that enable smarter transportation, waste collection, energy and resource management, etc. But this does not come at no cost and new services arise through the collection and processing of a large set of distributed and ubiquitous data. This chapter discusses the requirements needed to achieve a Smart City, identifying the main technical challenges in the heterogeneity of devices, data, networks, protocols, and standards. To overcome these limitations, we propose our vision of Cloud of Meshed Cooperative heterogeneous Things (CoMCoT). CoMCoT targets to enable every traditional city's entity (node, user, and provider) to be exposed and consumed as a Service. Beyond traditional Cloud of Things (CoT) services such as data abstraction and mutualization, the CoMCoT provides more holistic functionalities by aiming at full interoperability.
Fichier principal
Vignette du fichier
Cloud and sensing in Smart City-v4-1.pdf (815.72 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-02431666 , version 1 (08-01-2020)

Identifiers

  • HAL Id : hal-02431666 , version 1

Cite

Valeria Loscrì, Nathalie Mitton, Riccardo Petrolo. Cloud, network and sensing in a Smart City, toward a cloud of meshed cooperative heterogeneous things. Smart Cities in the Post-algorithmic Era Integrating Technologies, Platforms and Governance, Edward Elgar Publishing, 2019. ⟨hal-02431666⟩

Collections

INRIA INRIA2
31 View
167 Download

Share

Gmail Facebook X LinkedIn More