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Università degli studi di Trento

Distributed Monitoring for User Localization and Profiling in Smart Environment

Abstract

dc:description

The study of the next-generation distributed systems for distributed monitoring and user localization in smart environment is treated in this thesis. In the last years, a growing amount of attention has been focused on the adoption of Wireless Sersor Networks (WSN) as a scalable and flexible backbone to implement innovative services in smart environments, like smart building and smart cities. In this framework, this thesis will describe heterogeneous solutions to improve the supervision, control, monitoring, and management of public and private spaces. All these systems exploit the wireless communication and sensing in combination with smart methodologies to provide advanced services to the end user in many application fields, from environmental monitoring to energy management in smart districts or private and public buildings, up to road security and indoor occupancy for management and security reason. The data acquired by the WSN technology are used as input of customized strategies and algorithms developed for the real-time processing, fast analysis and result visualization.

Degree

thesis:*
Grantor dc:publisher
Università degli studi di Trento
Year dc:date
2018

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Giarola, Enrico
Contributors dc:contributor
  • Rocca, Paolo

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • info:eu-repo/semantics/closedAccess
  • license:Tutti i diritti riservati (All rights reserved)
Language dc:language
eng

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:iris.unitn.it:11572/368899

Chain of custody

source
Harvested from
Università degli Studi di Trento
Base URL
iris.unitn.it/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Giarola, Enrico. Distributed Monitoring for User Localization and Profiling in Smart Environment. Università degli studi di Trento, 2018. https://hdl.handle.net/11572/368899