Efficient data management for the Internet of Things
type: CreativeWork
description: Technological developments in recent years in both hardware and software have led to an explosion of devices and services in what is often called the Internet of Things. Today in every home in the US there are 11 "smart" devices with sensors capable of accurately describing and watching their environment. This trend is expected to continue further in the future, with this figure rising to 500 in 2022, sharply increasing the volume of information that can be exported from human activity. This plethora of data creates enormous potential for developing applications and services for users to improve their life parameters (from personal comfort to health or transport). The secure and effective processing of these data is a major problem, for which no specific solution has been widely adopted so far to address the significant problems of personal data protection and the efficient management of such data. Technologies such as IPv6 promote cloud management by directly exposing all devices over the Internet and thus allowing easy interaction and remote control, as opposed to Bluetooth LE, where local device management is the only available solution and selected information is published on the Internet using gateway devices. Finally, it is particularly important to enrich the data with external data such as meteorological forecasts or data on traffic and public transport routes. In this thesis, we are studying the real-time monitoring and organization of sensing infrastructures according to the changing requirements of applications and users. The aim is to design, implement and evaluate experimental self-organizing mechanisms using semantic information to improve the quality of data flows provided at the Internet level. As part of this process, we also seek to combine flows to more efficiently share and manage information. The mechanisms we implement are based on the "semantic entities" model, either as a part of the device network or as part of a web service aiming at balanc…
abstract: Technological developments in recent years in both hardware and software have led to an explosion of devices and services in what is often called the Internet of Things. Today in every home in the US there are 11 "smart" devices with sensors capable of accurately describing and watching their environment. This trend is expected to continue further in the future, with this figure rising to 500 in 2022, sharply increasing the volume of information that can be exported from human activity. This plethora of data creates enormous potential for developing applications and services for users to improve their life parameters (from personal comfort to health or transport). The secure and effective processing of these data is a major problem, for which no specific solution has been widely adopted so far to address the significant problems of personal data protection and the efficient management of such data. Technologies such as IPv6 promote cloud management by directly exposing all devices over the Internet and thus allowing easy interaction and remote control, as opposed to Bluetooth LE, where local device management is the only available solution and selected information is published on the Internet using gateway devices. Finally, it is particularly important to enrich the data with external data such as meteorological forecasts or data on traffic and public transport routes. In this thesis, we are studying the real-time monitoring and organization of sensing infrastructures according to the changing requirements of applications and users. The aim is to design, implement and evaluate experimental self-organizing mechanisms using semantic information to improve the quality of data flows provided at the Internet level. As part of this process, we also seek to combine flows to more efficiently share and manage information. The mechanisms we implement are based on the "semantic entities" model, either as a part of the device network or as part of a web service aiming at balanc…
author: Αμαξηλάτης, Δημήτριος
language: en_US
keywords: Internet of Things, Smart devices, Cloud, 006.22, Διαδίκτυο των Πραγμάτων, Έξυπνες συσκευές
date published: 2019-02-28T23:37:16Z
date modified: 2026-07-27T20:29:23Z
provider: University of Patras
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: University of Patras

PropertyValue
property ID: Handle
value: http://hdl.handle.net/10889/12064