The survey on Near Field Communication

PubMed ID: 26057043Near Field Communication (NFC) is an emerging short-range wireless communication technology that offers great and varied promise in services such as payment, ticketing, gaming, crowd sourcing, voting, navigation, and many others. NFC technology enables the integration of services from a wide range of applications into one single smartphone. NFC technology has emerged recently, and consequently not much academic data are available yet, although the number of academic research studies carried out in the past two years has already surpassed the total number of the prior works combined. This paper presents the concept of NFC technology in a holistic approach from different perspectives, including hardware improvement and optimization, communication essentials and standards, applications, secure elements, privacy and security, usability analysis, and ecosystem and business issues. Further research opportunities in terms of the academic and business points of view are also explored and discussed at the end of each section. This comprehensive survey will be a valuable guide for researchers and academicians, as well as for business in the NFC technology and ecosystem.Publisher's Versio

Doctor of Philosophy

dissertationThe next generation mobile network (i.e., 5G network) is expected to host emerging use cases that have a wide range of requirements; from Internet of Things (IoT) devices that prefer low-overhead and scalable network to remote machine operation or remote healthcare services that require reliable end-to-end communications. Improving scalability and reliability is among the most important challenges of designing the next generation mobile architecture. The current (4G) mobile core network heavily relies on hardware-based proprietary components. The core networks are expensive and therefore are available in limited locations in the country. This leads to a high end-to-end latency due to the long latency between base stations and the mobile core, and limitations in having innovations and an evolvable network. Moreover, at the protocol level the current mobile network architecture was designed for a limited number of smart-phones streaming a large amount of high quality traffic but not a massive number of low-capability devices sending small and sporadic traffic. This results in high-overhead control and data planes in the mobile core network that are not suitable for a massive number of future Internet-of-Things (IoT) devices. In terms of reliability, network operators already deployed multiple monitoring sys- tems to detect service disruptions and fix problems when they occur. However, detecting all service disruptions is challenging. First, there is a complex relationship between the network status and user-perceived service experience. Second, service disruptions could happen because of reasons that are beyond the network itself. With technology advancements in Software-defined Network (SDN) and Network Func- tion Virtualization (NFV), the next generation mobile network is expected to be NFV-based and deployed on NFV platforms. However, in contrast to telecom-grade hardware with built-in redundancy, commodity off-the-shell (COTS) hardware in NFV platforms often can't be comparable in term of reliability. Availability of Telecom-grade mobile core network hardwares is typically 99.999% (i.e., "five-9s" availability) while most NFV platforms only guarantee "three-9s" availability - orders of magnitude less reliable. Therefore, an NFV-based mobile core network needs extra mechanisms to guarantee its availability. This Ph.D. dissertation focuses on using SDN/NFV, data analytics and distributed system techniques to enhance scalability and reliability of the next generation mobile core network. The dissertation makes the following contributions. First, it presents SMORE, a practical offloading architecture that reduces end-to-end latency and enables new functionalities in mobile networks. It then presents SIMECA, a light-weight and scalable mobile core network designed for a massive number of future IoT devices. Second, it presents ABSENCE, a passive service monitoring system using customer usage and data analytics to detect silent failures in an operational mobile network. Lastly, it presents ECHO, a distributed mobile core network architecture to improve availability of NFV-based mobile core network in public clouds

Wireless body sensor networks for health-monitoring applications

This is an author-created, un-copyedited version of an article accepted for publication in Physiological Measurement. The publisher is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The Version of Record is available online at http://dx.doi.org/10.1088/0967-3334/29/11/R01

IoT system for EV charging at shared spaces

In current work, we apply the Internet of Things (IoT) paradigm to handle the electric vehicle (EV) charging process in small shared spaces, such as condominiums without requiring the intervention of an external supervision entity, being that role performed by the condominium management. A Mobile App handles the user interaction with the system, authenticating the request to initiate the EV charging process, a microcontroller connected to set of sensors and an actuator is used for measuring energy consumption and for enabling the charging process and, a Management Unit controls the process end to end, providing the required services to the Mobile App and the microcontroller unit while manages the energy sharing between the EV charging stations accordingly the condominium limitations and processes the energy measures to consolidate the EV charging energy transaction. A minimal user interface allows the users to visualise transactions, manage users' preferences, and configure the platform. Additionally, the conceptual model for a scaled solution is presented, supported on blockchain technologies to handle the financial transitions, allowing current approach to be replicated on broader EV charging scenarios, such as public charging systems in a city. The developed system was tested in a shared space with three EVs using a charging infrastructure for 3.5 months.No presente trabalho, é aplicado um paradigma de Internet Of Things (IOT) para agilizar e controlar o processo de carregamento de Veículos Elétricos (VE) em espaços partilhados de menores dimensões, como por exemplo condomínios residenciais, sem que seja necessária a intervenção (a título de prestação de serviços) de uma entidade externa, sendo todo o processo controlado pela gestão de condomínio. Uma aplicação móvel permite ao utilizador interagir com o sistema, permitindo a este autenticar-se no mesmo é condição necessária para que seja despoletado o processo de carregamento do VE. O sistema implementado com recurso a um microcontrolador encontrase ligado a um conjunto de sensores e um atuador permitindo medir a energia que esta ser consumida para carregamento do VE e simultaneamente, ligar e desligar o dispositivo de carregamento do veículo (através do controlo de um interruptor que entrega a energia entregue a este). O processo é controlado por uma unidade de gestão centralizada, que gera a distribuição de energia pelas estações de carregamento de VEs de acordo com as limitações do condomínio através do ligar e desligar destas e em simultâneo regista e processas as medições da energia consumida para consolidar as informações que constituem a transação de carregamento de VE e respetiva contraparte financeira associada à mesma. Adicionalmente, a unidade de gestão centralizada e a aplicação móvel, disponibilizam interfaces de utilizador mínimas para permitir funções como a consulta de transações, gestão e configuração da plataforma. Complementarmente, é apresentado um modelo conceptual permitindo escalar a solução proposta para espaços partilhados de maior dimensão, com recurso à utilização de tecnologias blockchain para gestão e registo das transações financeiras associadas à operação. Propondo uma abordagem, que poderá ser replicável em cenários mais amplos de utilização como por exemplo, a infraestrutura publica de carregamento de VE de uma cidade. O protótipo desenvolvido foi testado num espaço partilhado com três VE, usando uma infraestrutura de carregamento durante 3,5 meses