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Nicola Bui

Researcher at Charles III University of Madrid

Publications -  60
Citations -  6794

Nicola Bui is an academic researcher from Charles III University of Madrid. The author has contributed to research in topics: Wireless sensor network & The Internet. The author has an hindex of 22, co-authored 60 publications receiving 5908 citations. Previous affiliations of Nicola Bui include University of Ferrara & IMDEA Networks.

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Journal ArticleDOI

Internet of Things for Smart Cities

TL;DR: This paper will present and discuss the technical solutions and best-practice guidelines adopted in the Padova Smart City project, a proof-of-concept deployment of an IoT island in the city of Padova, Italy, performed in collaboration with the city municipality.
Proceedings ArticleDOI

Health care applications: a solution based on the internet of things

TL;DR: This investigation takes the move by decomposing the storyline of a day in Robert's life, the authors' unlucky character in the not so far future, into simple processes and their interactions, and devise the main communication requirements for those processes and for their integration in the Internet as web services.
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The internet of energy: a web-enabled smart grid system

TL;DR: The use of small, cheap, and resource-constrained devices with pervasive computing capabilities as the key component to deploy a ubiquitous energy control system is advocated, making the Internet-based smart grid vision considered in this article practically achievable in the not too distant future.
Proceedings ArticleDOI

Architecture and protocols for the Internet of Things: A case study

TL;DR: The network spans the floors of different buildings within the Department of Information Engineering, and is designed to provide access to basic services such as environmental monitoring and localization to University users, as well as to manage service access based on user roles and authorizations.
Journal ArticleDOI

A Survey of Anticipatory Mobile Networking: Context-Based Classification, Prediction Methodologies, and Optimization Techniques

TL;DR: In this article, a survey collects and analyzes recent papers leveraging context information to forecast the evolution of network conditions and, in turn, to improve network performance, identifying the main prediction and optimization tools adopted in this body of work and link them with objectives and constraints of the typical applications and scenarios.