181 research outputs found

    Internet of Things Based Technology for Smart Home System: A Generic Framework

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    Internet of Things (IoT) is a technology which enables computing devices, physical and virtual objects/devices to be connected to the internet so that users can control and monitor devices. The IoT offers huge potential for development of various applications namely: e-governance, environmental monitoring, military applications, infrastructure management, industrial applications, energy management, healthcare monitoring, home automation and transport systems. In this paper, the brief overview of existing frameworks for development of IoT applications, techniques to develop smart home applications using existing IoT frameworks, and a new generic framework for the development of IoTbasedsmart home system is presented. The proposed generic framework comprises various modules such as Auto-Configuration and Management, Communication Protocol, Auto-Monitoring and Control, and Objects Access Control. The architecture of the new generic framework and the functionality of various modules in the framework are also presented. The proposed generic framework is helpful for making every house as smart house to increase the comfort of inhabitants. Each of the components of generic framework is robust in nature in providing services at any time. The components of smart home system are designed to take care of various issues such as scalability, interoperability, device adaptability, security and privacy. The proposed generic framework is designed to work on all vendor boards and variants of Linux and Windows operating system

    Extending the Internet of Things to the future Internet through IPv6 Support

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    Emerging Internet of Things (IoT)/Machine-to-Machine (M2M) systems require a transparent access to information and services through a seamless integration into the Future Internet. This integration exploits infrastructure and services found on the Internet by the IoT. On the one hand, the so-called Web of Things aims for direct Web connectivity by pushing its technology down to devices and smart things. On the other hand, the current and Future Internet offer stable, scalable, extensive, and tested protocols for node and service discovery, mobility, security, and auto-configuration, which are also required for the IoT. In order to integrate the IoT into the Internet, this work adapts, extends, and bridges using IPv6 the existing IoT building blocks (such as solutions from IEEE 802.15.4, BT-LE, RFID) while maintaining backwards compatibility with legacy networked embedded systems from building and industrial automation. Specifically, this work presents an extended Internet stack with a set of adaptation layers from non-IP towards the IPv6-based network layer in order to enable homogeneous access for applications and services

    Information-Centric Semantic Web of Things

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    In the Semantic Web of Things (SWoT) paradigm, a plethora of micro-devices permeates an environment. Storage and information processing are decentralized: each component conveys and even processes a (very) small amount of annotated metadata. In this perspective, the node-centric Internet networking model is inadequate. This paper presents a framework for resource discovery in semantic-enhanced pervasive environments leveraging an information-centric networking approach. Information gathered through different Internet of Things (IoT) technologies can be exploited by both ubiquitous and Web-based semantic-aware applications through a uniform set of operations. Experimental results and a case study support sustainability and effectiveness of the proposal

    Remote biometrical monitoring system via IoT

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    Os sistemas de Internet of Things (IoT) estão a experienciar um rápido crescimento devido à sua aplicabilidade em vários domínios, desde cidades inteligentes até aos cuidados de saúde. Nestes sistemas, os dispositivos comunicam entre si, ou com a infraestrutura, recorrendo a comunicações machine-to-machine (M2M). Uma vez que muitos destes dispositivos são simples, com escassa capacidade de processamento, foram desenvolvidos protocolos M2M como o Constrained Application Protocol (CoAP) e o Messaging Queue Telemetry Transport (MQTT), bem como frameworks de suporte de comunicações M2M. Apesar dos desenvolvimentos nesta tecnologia, ainda são encontrados desafios no desenvolvimento de aplicações M2M e IoT a nível da interoperabilidade, escalabilidade e padronização, por exemplo. Consequentemente, vários standards M2M foram desenvolvidos para superar estes desafios, sendo o oneM2M um deles. Atualmente, existem vários dispositivos disponíveis com uma interface WiFi embebida, o que significa que quando inseridos num sistema IoT, não necessitam de uma gateway (GW) para o acesso à Internet, uma vez que o WiFi é uma tecnologia omnipresente na sociedade atual. Esta é uma característica fundamental visto que diminui o custo global do sistema. Além disso, estes dipositivos, como o módulo ESP32, oferecem modos de poupança de energia que permitem explorar recursos de gestão de energia definidos pelo standard IEEE 802.11. As instituições de cuidados de saúde procuram oferecer os melhores serviços em termos de confiabilidade, segurança e conforto aos seus pacientes. Recentemente, tecnologias IoT foram abordadas, desenvolvidas e utilizadas para melhorar o serviço aos pacientes. O trabalho proposto nesta dissertação é um sistema de monitorização contínua via IoT capaz de monitorizar os sinais vitais de um paciente e apresentá-los aos profissionais de saúde. Para além disso, o sistema pode ser utilizado em diversos cenários desde salas de emergência, uso doméstico até à competição desportiva. O sistema possui dois componentes principais: um dispositivo wearable com uma antena WiFi e um sistema de monitorização orientado ao profissional de saúde. O wearable é composto por um sensor fotopletismográfico (PPG) MAX30100/MAX30102 para medir o ritmo cardíaco e os níveis de saturação de oxigénio no sangue, um ESP32 com uma antena WiFi incorporada para processar e enviar os dados do sensor para o sistema de monitorização e, finalmente, uma bateria de Lítio Polímero (LiPo) para fornecer energia aos dois componentes mencionados. No que refere ao sistema de monitorização, este é composto por uma base de dados orientada a eventos temporais para armazenar todos os dados necessários, um software de visualização gráfica para a visualização dos sinais vitais do paciente e, por fim, uma Interface Gráfica com o objetivo de ser um painel de controlo para todo o sistema. Para além disso, o sistema segue a norma oneM2M devido a questões de interoperabilidade relativas à arquitetura, e implementa o modelo de comunicação publisher-subscriber pois este é eficiente em termos de sensorização e monitorização remota. Por último, o objetivo desta dissertação é desenvolver um sistema de monitorização de baixo custo focado na gestão energética e que ao mesmo tempo não comprometa a sua confiabilidade e robustez.Internet of Things (IoT) systems are experiencing rapid growth due to their applicability in several domains, from smart cities to healthcare among many. In these systems, devices communicate with each other, or with infrastructure, resorting to machine-to-machine (M2M) communications. Since many of these devices are simple systems, with weak processing capacity, lightweight M2M protocols were developed such as Constrained Application Protocol (CoAP) and Messaging Queue Telemetry Transport (MQTT) as well as frameworks to support M2M communications. As expected, there are challenges when developing M2M and IoT applications: interoperability, scalability, standardisation, among others. Therefore, several M2M standards were created to overcome these issues, with oneM2M being one of them. Nowadays, there are multiple devices available that have an embedded WiFi interface, thus, when inserted in an IoT system, these devices do not need a gateway (GW) to access the Internet since WiFi is one of the most common technologies at Internet boundary. This is a key feature because it increases the system's pervasiveness as well as the overall cost of the system. Additionally, these devices, such as the ESP32 module, offer sleep modes that allow exploiting the power management features by the IEEE 802.11 standard. Healthcare institutions always strive to provide the best services concerning the reliability, safety and comfort of the patients. To do so, IoT technologies have been embraced and developed in recent years to improve these services. The work proposed in this dissertation is an end-to-end continuous monitoring system via IoT capable of monitoring a patient's vital signs and displaying them to the medical personnel. Moreover, the system can be applied to a wide range of application scenarios from emergency wards and home environment to sports training and competition. The system has two major components, a low-cost and low-power WiFi-enabled wearable device for the user and, at the upper end, a monitoring interface for the medical personnel. The wearable is composed by a MAX30100/MAX30102 PhotoPletysmoGraphy (PPG) sensor to measure the heart rate and oxygen saturation levels, an ESP32 with a built-in WiFi antenna to process and send the sensor data to the monitoring system and, finally, a Lithium Polymer (LiPo) battery to power-up the previous two components. At the upper end, the monitoring interface is composed of a time-series database to store all the data, a graphics visualisation software of patient's vital signs and a Graphic User Interface (GUI) serving as a control panel. Additionally, the system relies on the oneM2M standard for the interoperability concerning the architecture and follows a publish-subscribe communication model due to its efficiency in sensing and remote monitoring. Furthermore, the goal of this dissertation is to develop a low-cost and energy-efficient monitoring system while not compromising the reliability and robustness of traditional machines and systems

    White Paper for Research Beyond 5G

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    The documents considers both research in the scope of evolutions of the 5G systems (for the period around 2025) and some alternative/longer term views (with later outcomes, or leading to substantial different design choices). This document reflects on four main system areas: fundamental theory and technology, radio and spectrum management; system design; and alternative concepts. The result of this exercise can be broken in two different strands: one focused in the evolution of technologies that are already ongoing development for 5G systems, but that will remain research areas in the future (with “more challenging” requirements and specifications); the other, highlighting technologies that are not really considered for deployment today, or that will be essential for addressing problems that are currently non-existing, but will become apparent when 5G systems begin their widespread deployment

    Teaching the Internet of Things: Bridging a Path from CPE329

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    “The ability to connect, communicate with, and remotely manage an incalculable number of networked, automated devices via the Internet is becoming pervasive, from the commercial kitchen to the residential basement room to the arm of the fitness buff.” - WSO2 In this report, we will investigate procedures and technologies used in IoT. A variety of cloud platforms will be described to demonstrate its strengths and usage on IoT applications. Furthermore, demonstrate the most popular hardware being used in several of these applications. This report is aimed to give a good understanding on what it takes to put together an IoT application from from choosing the appropriate hardware to choosing the right cloud platform. A thorough analysis has been done in order to help users choose the right hardware, communication protocol and cloud platform to deploy an application to the cloud. As Internet of Things is still a developing field, the information here may become outdated or even drastically altered, and new standardizations may arise

    Extending the Internet of Things to the Future Internet Through IPv6 Support

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    CONSUMERS’ PERCEPTIONS ON SMART HOME AND SMART LIVING

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    Internet of Things (IoT) is an umbrella term used for Internetworking physical devices such as vehicles, buildings, home appliances, and other physical objects to the Internet. This technology innovation allows for different objects or devices to be connected to each other, thus transforming the objects from “dumb” to “smart” devices. A central question for researchers and practitioners is whether and how the potential users of smart home technology, a subset of IoT technology, perceive this innovation. To address this question, the present paper seeks to empirically explore the relationships between determinant factors influencing users’ intentions. By drawing upon recent studies on smart home technology, this paper argues that multiple factors impact users’ perceptions and consequently their adoption decisions. By using a survey data from 156 individuals and applying structural equation modelling (SEM) and Fuzzy-set qualitative comparative analysis (fsQCA), this research suggests that attitudes toward using technology, social influence, perceived usefulness and perceived innovativeness impact users’ adoption decisions. Moreover, fsQCA results, while reinforcing and refining findings from the SEM analysis, reveal that there is no single solution that lead to the outcome of interest—smart home technology adoption—but multiple configurations of conditions do. Theoretical and methodological contributions are discussed

    Identity Management Framework for Internet of Things

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    Graphs behind data: A network-based approach to model different scenarios

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    openAl giorno d’oggi, i contesti che possono beneficiare di tecniche di estrazione della conoscenza a partire dai dati grezzi sono aumentati drasticamente. Di conseguenza, la definizione di modelli capaci di rappresentare e gestire dati altamente eterogenei è un argomento di ricerca molto dibattuto in letteratura. In questa tesi, proponiamo una soluzione per affrontare tale problema. In particolare, riteniamo che la teoria dei grafi, e più nello specifico le reti complesse, insieme ai suoi concetti ed approcci, possano rappresentare una valida soluzione. Infatti, noi crediamo che le reti complesse possano costituire un modello unico ed unificante per rappresentare e gestire dati altamente eterogenei. Sulla base di questa premessa, mostriamo come gli stessi concetti ed approcci abbiano la potenzialità di affrontare con successo molti problemi aperti in diversi contesti. ​Nowadays, the amount and variety of scenarios that can benefit from techniques for extracting and managing knowledge from raw data have dramatically increased. As a result, the search for models capable of ensuring the representation and management of highly heterogeneous data is a hot topic in the data science literature. In this thesis, we aim to propose a solution to address this issue. In particular, we believe that graphs, and more specifically complex networks, as well as the concepts and approaches associated with them, can represent a solution to the problem mentioned above. In fact, we believe that they can be a unique and unifying model to uniformly represent and handle extremely heterogeneous data. Based on this premise, we show how the same concepts and/or approach has the potential to address different open issues in different contexts. ​INGEGNERIA DELL'INFORMAZIONEopenVirgili, Luc
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