180 research outputs found
Towards rapid modeling and prototyping of indoor and outdoor monitoring applications
Nowadays, the capability to remotely monitor indoor and outdoor environments would allow to reduce energy consumption and improve the overall management and users’ experience of network application systems. The most known solutions adopting remote control are related to domotics (e.g., smart homes and industry 4.0 applications). An important stimulus for the development of such smart approaches is the growth of the Internet of Things (IoT) technologies and the increasing investment in the development of green houses, buildings, and, in general, heterogeneous environments. While the benefits for the humans and the environment are evident, a pervasive adoption and distribution of remote monitoring solutions are hindered by the following issue: modeling, designing, prototyping, and further developing the remote applications and underlying architecture require a certain amount of time. Moreover, such systems must be often customized on the basis of the need of the specific domain and involved entities. For such reasons, in this paper, we provide the experience made in addressing some relevant indoor and outdoor case studies through IoT-targeted tools, technologies and protocols, highlighting the advantages and disadvantages of the considered solutions as well as insights that can be useful for future practitioners
SAgric-IoT: an IoT-based platform and deep learning for greenhouse monitoring
The Internet of Things (IoT) and convolutional neural networks (CNN) integration is a growing topic of interest for researchers as a technology that will contribute to transforming agriculture. IoT will enable farmers to decide and act based on data collected from sensor nodes regarding field conditions and not purely based on experience, thus minimizing the wastage of supplies (seeds, water, pesticide, and fumigants). On the other hand, CNN complements monitoring systems with tasks such as the early detection of crop diseases or predicting the number of consumable resources and supplies (water, fertilizers) needed to increase productivity. This paper proposes SAgric-IoT, a technology platform based on IoT and CNN for precision agriculture, to monitor environmental and physical variables and provide early disease detection while automatically controlling the irrigation and fertilization in greenhouses. The results show SAgric-IoT is a reliable IoT platform with a low packet loss level that considerably reduces energy consumption and has a disease identification detection accuracy and classification process of over 90%
IoT Data Processing for Smart City and Semantic Web Applications
The world has been experiencing rapid urbanization over the last few decades,
putting a strain on existing city infrastructure such as waste management,
water supply management, public transport and electricity consumption. We are
also seeing increasing pollution levels in cities threatening the environment,
natural resources and health conditions. However, we must realize that the real
growth lies in urbanization as it provides many opportunities to individuals
for better employment, healthcare and better education. However, it is
imperative to limit the ill effects of rapid urbanization through integrated
action plans to enable the development of growing cities. This gave rise to the
concept of a smart city in which all available information associated with a
city will be utilized systematically for better city management.
The proposed system architecture is divided in subsystems and is discussed in
individual chapters. The first chapter introduces and gives overview to the
reader of the complete system architecture. The second chapter discusses the
data monitoring system and data lake system based on the oneM2M standards. DMS
employs oneM2M as a middleware layer to achieve interoperability, and DLS uses
a multi-tenant architecture with multiple logical databases, enabling efficient
and reliable data management. The third chapter discusses energy monitoring and
electric vehicle charging systems developed to illustrate the applicability of
the oneM2M standards. The fourth chapter discusses the Data Exchange System
based on the Indian Urban Data Exchange framework. DES uses IUDX standard data
schema and open APIs to avoid data silos and enable secure data sharing. The
fifth chapter discusses the 5D-IoT framework that provides uniform data quality
assessment of sensor data with meaningful data descriptions
A Survey of Using Machine Learning in IoT Security and the Challenges Faced by Researchers
The Internet of Things (IoT) has become more popular in the last 15 years as it has significantly improved and gained control in multiple fields. We are nowadays surrounded by billions of IoT devices that directly integrate with our lives, some of them are at the center of our homes, and others control sensitive data such as military fields, healthcare, and datacenters, among others. This popularity makes factories and companies compete to produce and develop many types of those devices without caring about how secure they are. On the other hand, IoT is considered a good insecure environment for cyber thefts. Machine Learning (ML) and Deep Learning (DL) also gained more importance in the last 15 years; they achieved success in the networking security field too. IoT has some similar security requirements such as traditional networks, but with some differences according to its characteristics, some specific security features, and environmental limitations, some differences are made such as low energy resources, limited computational capability, and small memory. These limitations inspire some researchers to search for the perfect and lightweight security ways which strike a balance between performance and security. This survey provides a comprehensive discussion about using machine learning and deep learning in IoT devices within the last five years. It also lists the challenges faced by each model and algorithm. In addition, this survey shows some of the current solutions and other future directions and suggestions. It also focuses on the research that took the IoT environment limitations into consideration
Underpinning Quality Assurance: Identifying Core Testing Strategies for Multiple Layers of Internet-of-Things-Based Applications
The Internet of Things (IoT) constitutes a digitally integrated network of intelligent devices equipped with sensors, software, and communication capabilities, facilitating data exchange among a multitude of digital systems via the Internet. Despite its pivotal role in the software development life-cycle (SDLC) for ensuring software quality in terms of both functional and non-functional aspects, testing within this intricate software–hardware ecosystem has been somewhat overlooked. To address this, various testing techniques are applied for real-time minimization of failure rates in IoT applications. However, the execution of a comprehensive test suite for specific IoT software remains a complex undertaking. This paper proposes a holistic framework aimed at aiding quality assurance engineers in delineating essential testing methods across different testing levels within the IoT. This delineation is crucial for effective quality assurance, ultimately reducing failure rates in real-time scenarios. Furthermore, the paper offers a mapping of these identified tests to each layer within the layered framework of the IoT. This comprehensive approach seeks to enhance the reliability and performance of IoT-based applications
A Semantic Interoperability Model Based on the IEEE 1451 Family of Standards Applied to the Industry 4.0
The Internet of Things (IoT) has been growing recently. It is a concept for connecting
billions of smart devices through the Internet in different scenarios. One area being
developed inside the IoT in industrial automation, which covers Machine-to-Machine (M2M) and industrial communications with an automatic process, emerging the
Industrial Internet of Things (IIoT) concept. Inside the IIoT is developing the concept of
Industry 4.0 (I4.0). That represents the fourth industrial revolution and addresses the
use of Internet technologies to improve the production efficiency of intelligent services
in smart factories. I4.0 is composed of a combination of objects from the physical world and the digital world that offers dedicated functionality and flexibility inside and outside of an I4.0 network.
The I4.0 is composed mainly of Cyber-Physical Systems (CPS). The CPS is the integration
of the physical world and its digital world, i.e., the Digital Twin (DT). It is responsible for realising the intelligent cross-link application, which operates in a self-organised and
decentralised manner, used by smart factories for value creation. An area where the CPS
can be implemented in manufacturing production is developing the Cyber-Physical Production System (CPPS) concept. CPPS is the implementation of Industry 4.0 and CPS in manufacturing and production, crossing all levels of production between the
autonomous and cooperative elements and sub-systems. It is responsible for connecting
the virtual space with the physical world, allowing the smart factories to be more intelligent, resulting in better and smart production conditions, increasing productivity,
production efficiency, and product quality. The big issue is connecting smart devices with
different standards and protocols. About 40% of the benefits of the IoT cannot be
achieved without interoperability. This thesis is focused on promoting the
interoperability of smart devices (sensors and actuators) inside the IIoT under the I4.0 context.
The IEEE 1451 is a family of standards developed to manage transducers. This standard reaches the syntactic level of interoperability inside Industry 4.0. However, Industry 4.0
requires a semantic level of communication not to exchange data ambiguously. A new
semantic layer is proposed in this thesis allowing the IEEE 1451 standard to be a complete framework for communication inside the Industry 4.0 to provide an interoperable network interface with users and applications to collect and share the data from the industry field.A Internet das Coisas tem vindo a crescer recentemente. É um conceito que permite
conectar bilhões de dispositivos inteligentes através da Internet em diferentes cenários.
Uma área que está sendo desenvolvida dentro da Internet das Coisas é a automação
industrial, que abrange a comunicação máquina com máquina no processo industrial de
forma automática. Essa interligação, representa o conceito da Internet das Coisas
Industrial. Dentro da Internet das Coisas Industrial está a desenvolver o conceito de
Indústria 4.0 (I4.0). Isso representa a quarta revolução industrial que aborda o uso de
tecnologias utilizadas na Internet para melhorar a eficiência da produção de serviços em
fábricas inteligentes. A Indústria 4.0 é composta por uma combinação de objetos do
mundo físico e do mundo da digital que oferece funcionalidade dedicada e flexibilidade
dentro e fora de uma rede da Indústria 4.0.
O I4.0 é composto principalmente por Sistemas Ciberfísicos. Os Sistemas Ciberfísicos
permitem a integração do mundo físico com seu representante no mundo digital, por
meio do Gémeo Digital. Sistemas Ciberfísicos são responsáveis por realizar a aplicação
inteligente da ligação cruzada, que opera de forma auto-organizada e descentralizada,
utilizada por fábricas inteligentes para criação de valor. Uma área em que o Sistema
Ciberfísicos pode ser implementado na produção manufatureira, isso representa o
desenvolvimento do conceito Sistemas de Produção Ciberfísicos. Esse sistema é a
implementação da Indústria 4.0 e Sistema Ciberfísicos na fabricação e produção. A
cruzar todos os níveis desde a produção entre os elementos e subsistemas autónomos e
cooperativos. Ele é responsável por conectar o espaço virtual com o mundo físico,
permitindo que as fábricas inteligentes sejam mais inteligentes, resultando em condições
de produção melhores e inteligentes, aumentando a produtividade, a eficiência da
produção e a qualidade do produto. A grande questão é como conectar dispositivos
inteligentes com diferentes normas e protocolos. Cerca de 40% dos benefícios da Internet
das Coisas não podem ser alcançados sem interoperabilidade. Esta tese está focada em
promover a interoperabilidade de dispositivos inteligentes (sensores e atuadores) dentro
da Internet das Coisas Industrial no contexto da Indústria 4.0.
O IEEE 1451 é uma família de normas desenvolvidos para gerenciar transdutores. Esta
norma alcança o nível sintático de interoperabilidade dentro de uma indústria 4.0. No
entanto, a Indústria 4.0 requer um nível semântico de comunicação para não haver a
trocar dados de forma ambígua. Uma nova camada semântica é proposta nesta tese
permitindo que a família de normas IEEE 1451 seja um framework completo para
comunicação dentro da Indústria 4.0. Permitindo fornecer uma interface de rede
interoperável com utilizadores e aplicações para recolher e compartilhar os dados dentro
de um ambiente industrial.This thesis was developed at the Measurement and Instrumentation Laboratory (IML)
in the University of Beira Interior and supported by the portuguese project INDTECH
4.0 – Novas tecnologias para fabricação, que tem como objetivo geral a conceção e
desenvolvimento de tecnologias inovadoras no contexto da Indústria 4.0/Factories of the Future (FoF), under the number POCI-01-0247-FEDER-026653
Space Governance for the 21st Century: Balancing Space Development with Sustainability
The development of space is occurring in new ways and at an accelerated pace compared to even just a decade ago. As new and greater volumes of space activities, like large constellations of small satellites, space traffic management, and on orbit rendezvous, proximity, servicing, and assembly operations become routine, new international governance will be necessary to balance the development of space with space sustainability. While some international space governance does exist, it is poorly suited to govern new space activities and the environmental threats posed by space development. The need for new governance is well documented, yet the international community, and specifically the United Nations Committee on the Peaceful Uses of Outer Space (COPUOS), has been unable to organize around space governance and produce effective international governance measures.This research will compare governance regimes of the air, maritime, and internet domains to understand how stakeholders and international organisations approach governance of a global commons. Through the examination of the International Maritime Organization, International Civil Aviation Organization, and the multistakeholder group responsible for internet governance this research will draw insight into the organisational structures, processes, tools, and techniques that aid in the creation of international governance to inform new governance for space.Findings offer insight into the organisational qualities, governance tools, and necessary change needed to govern space more effectively. First, despite differences across case studies, there are key features of effective international governance present in each. Each system of governance is designed based on unique features and qualities of that domain and its stakeholders. Still, decision-making processes, membership participation, enforcement, and keeping pace with new technology all play central roles in effective international governance.Proper consensus decision-making can play an outsized role in whether a forum can advance governance or not. The case studies make clear that to properly use consensus as a decision-making approach requires thoughtful consideration of the increased transaction costs weighed against necessary agreement compliance. For example, not all governance outputs require a high degree of compliance to be effective and therefore do not justify higher transaction costs associated with strict consensus processes. Similarly, thoughtful use of consensus also requires evaluating where in the diplomatic process consensus is required. Not every diplomatic decision requires full consensus. Yet, COPUOS currently does not adjust its decision-making approach based on output or where in the diplomatic process it requires consensus, which has allowed the forum's use of consensus to hinder the development of new governance.Another finding is that strong governance leverages a multitude of governance tools. Treaties are an important governance measure, but so too are standards and recommended practices, guidelines, codes, performance-based measures, audit schemes, scoping exercises, and educational resources, among other tools. Many of the emerging space activities will continue to evolve quickly, which requires producing governance in a timely manner and continuous evolution of agreements. In each case study, evolving activities were governed by a spectrum of measures that allowed the IO to affect member behaviour quickly and overtime through complementary outputs.Each case study made clear that effective governance requires constant work across multiple workstreams, yet COPUOS is a small three body organisation with too few resources to increase work cadence or volume. A larger secretariat and the capacity to create new subcommittees or working groups is likely to aid space governance. COPUOS will require major changes to accommodate space governance needs. Finally, this research offers recommendations for future research capable of exploring additional possible solutions to existing space governance problems
Optimization of 5G Second Phase Heterogeneous Radio Access Networks with Small Cells
Due to the exponential increase in high data-demanding applications and their services per
coverage area, it is becoming challenging for the existing cellular network to handle the massive
sum of users with their demands. It is conceded to network operators that the current
wireless network may not be capable to shelter future traffic demands. To overcome the challenges
the operators are taking interest in efficiently deploying the heterogeneous network.
Currently, 5G is in the commercialization phase. Network evolution with addition of small
cells will develop the existing wireless network with its enriched capabilities and innovative
features. Presently, the 5G global standardization has introduced the 5G New Radio (NR) under
the 3rd Generation Partnership Project (3GPP). It can support a wide range of frequency
bands (<6 GHz to 100 GHz).
For different trends and verticals, 5G NR encounters, functional splitting and its cost evaluation
are well-thought-out. The aspects of network slicing to the assessment of the business
opportunities and allied standardization endeavours are illustrated. The study explores the
carrier aggregation (Pico cellular) technique for 4G to bring high spectral efficiency with the
support of small cell massification while benefiting from statistical multiplexing gain. One
has been able to obtain values for the goodput considering CA in LTE-Sim (4G), of 40 Mbps
for a cell radius of 500 m and of 29 Mbps for a cell radius of 50 m, which is 3 times higher
than without CA scenario (2.6 GHz plus 3.5 GHz frequency bands).
Heterogeneous networks have been under investigation for many years. Heterogeneous network
can improve users service quality and resource utilization compared to homogeneous
networks. Quality of service can be enhanced by putting the small cells (Femtocells or Picocells)
inside the Microcells or Macrocells coverage area. Deploying indoor Femtocells for 5G
inside the Macro cellular network can reduce the network cost. Some service providers have
started their solutions for indoor users but there are still many challenges to be addressed.
The 5G air-simulator is updated to deploy indoor Femto-cell with proposed assumptions with
uniform distribution. For all the possible combinations of apartments side length and transmitter
power, the maximum number of supported numbers surpassed the number of users
by more than two times compared to papers mentioned in the literature. Within outdoor environments,
this study also proposed small cells optimization by putting the Pico cells within
a Macro cell to obtain low latency and high data rate with the statistical multiplexing gain of
the associated users.
Results are presented 5G NR functional split six and split seven, for three frequency bands
(2.6 GHz, 3.5GHz and 5.62 GHz). Based on the analysis for shorter radius values, the best
is to select the 2.6 GHz to achieve lower PLR and to support a higher number of users, with
better goodput, and higher profit (for cell radius u to 400 m). In 4G, with CA, from the
analysis of the economic trade-off with Picocell, the Enhanced multi-band scheduler EMBS
provide higher revenue, compared to those without CA. It is clearly shown that the profit of
CA is more than 4 times than in the without CA scenario. This means that the slight increase
in the cost of CA gives back more than 4-time profit relatively to the ”without” CA scenario.Devido ao aumento exponencial de aplicações/serviços de elevado débito por unidade de
área, torna-se bastante exigente, para a rede celular existente, lidar com a enormes quantidades
de utilizadores e seus requisitos. É reconhecido que as redes móveis e sem fios atuais
podem não conseguir suportar a procura de tráfego junto dos operadores. Para responder
a estes desafios, os operadores estão-se a interessar pelo desenvolvimento de redes heterogéneas
eficientes. Atualmente, a 5G está na fase de comercialização. A evolução destas
redes concretizar-se-á com a introdução de pequenas células com aptidões melhoradas e
características inovadoras. No presente, os organismos de normalização da 5G globais introduziram
os Novos Rádios (NR) 5G no contexto do 3rd Generation Partnership Project
(3GPP). A 5G pode suportar uma gama alargada de bandas de frequência (<6 a 100 GHz).
Abordam-se as divisões funcionais e avaliam-se os seus custos para as diferentes tendências
e verticais dos NR 5G. Ilustram-se desde os aspetos de particionamento funcional da rede à
avaliação das oportunidades de negócio, aliadas aos esforços de normalização. Exploram-se
as técnicas de agregação de espetro (do inglês, CA) para pico células, em 4G, a disponibilização
de eficiência espetral, com o suporte da massificação de pequenas células, e o ganho
de multiplexagem estatística associado. Obtiveram-se valores do débito binário útil, considerando
CA no LTE-Sim (4G), de 40 e 29 Mb/s para células de raios 500 e 50 m, respetivamente,
três vezes superiores em relação ao caso sem CA (bandas de 2.6 mais 3.5 GHz).
Nas redes heterogéneas, alvo de investigação há vários anos, a qualidade de serviço e a utilização
de recursos podem ser melhoradas colocando pequenas células (femto- ou pico-células)
dentro da área de cobertura de micro- ou macro-células). O desenvolvimento de pequenas
células 5G dentro da rede com macro-células pode reduzir os custos da rede. Alguns prestadores
de serviços iniciaram as suas soluções para ambientes de interior, mas ainda existem
muitos desafios a ser ultrapassados. Atualizou-se o 5G air simulator para representar a
implantação de femto-células de interior com os pressupostos propostos e distribuição espacial
uniforme. Para todas as combinações possíveis do comprimento lado do apartamento, o
número máximo de utilizadores suportado ultrapassou o número de utilizadores suportado
(na literatura) em mais de duas vezes. Em ambientes de exterior, propuseram-se pico-células
no interior de macro-células, de forma a obter atraso extremo-a-extremo reduzido e taxa de
transmissão dados elevada, resultante do ganho de multiplexagem estatística associado.
Apresentam-se resultados para as divisões funcionais seis e sete dos NR 5G, para 2.6 GHz,
3.5GHz e 5.62 GHz. Para raios das células curtos, a melhor solução será selecionar a banda
dos 2.6 GHz para alcançar PLR (do inglês, PLR) reduzido e suportar um maior número de
utilizadores, com débito binário útil e lucro mais elevados (para raios das células até 400 m).
Em 4G, com CA, da análise do equilíbrio custos-proveitos com pico-células, o escalonamento
multi-banda EMBS (do inglês, Enhanced Multi-band Scheduler) disponibiliza proveitos superiores
em comparação com o caso sem CA. Mostra-se claramente que lucro com CA é mais
de quatro vezes superior do que no cenário sem CA, o que significa que um aumento ligeiro
no custo com CA resulta num aumento de 4-vezes no lucro relativamente ao cenário sem CA
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