3,133 research outputs found
Business Case and Technology Analysis for 5G Low Latency Applications
A large number of new consumer and industrial applications are likely to
change the classic operator's business models and provide a wide range of new
markets to enter. This article analyses the most relevant 5G use cases that
require ultra-low latency, from both technical and business perspectives. Low
latency services pose challenging requirements to the network, and to fulfill
them operators need to invest in costly changes in their network. In this
sense, it is not clear whether such investments are going to be amortized with
these new business models. In light of this, specific applications and
requirements are described and the potential market benefits for operators are
analysed. Conclusions show that operators have clear opportunities to add value
and position themselves strongly with the increasing number of services to be
provided by 5G.Comment: 18 pages, 5 figure
Exploring IoT in Smart Cities: Practices, Challenges and Way Forward
The rise of Internet of things (IoT) technology has revolutionized urban
living, offering immense potential for smart cities in which smart home, smart
infrastructure, and smart industry are essential aspects that contribute to the
development of intelligent urban ecosystems. The integration of smart home
technology raises concerns regarding data privacy and security, while smart
infrastructure implementation demands robust networking and interoperability
solutions. Simultaneously, deploying IoT in industrial settings faces
challenges related to scalability, standardization, and data management. This
research paper offers a systematic literature review of published research in
the field of IoT in smart cities including 55 relevant primary studies that
have been published in reputable journals and conferences. This extensive
literature review explores and evaluates various aspects of smart home, smart
infrastructure, and smart industry and the challenges like security and
privacy, smart sensors, interoperability and standardization. We provide a
unified perspective, as we seek to enhance the efficiency and effectiveness of
smart cities while overcoming security concerns. It then explores their
potential for collective integration and impact on the development of smart
cities. Furthermore, this study addresses the challenges associated with each
component individually and explores their combined impact on enhancing urban
efficiency and sustainability. Through a comprehensive analysis of security
concerns, this research successfully integrates these IoT components in a
unified approach, presenting a holistic framework for building smart cities of
the future. Integrating smart home, smart infrastructure, and smart industry,
this research highlights the significance of an integrated approach in
developing smart cities
The Emerging Internet of Things Marketplace From an Industrial Perspective: A Survey
The Internet of Things (IoT) is a dynamic global information network
consisting of internet-connected objects, such as Radio-frequency
identification (RFIDs), sensors, actuators, as well as other instruments and
smart appliances that are becoming an integral component of the future
internet. Over the last decade, we have seen a large number of the IoT
solutions developed by start-ups, small and medium enterprises, large
corporations, academic research institutes (such as universities), and private
and public research organisations making their way into the market. In this
paper, we survey over one hundred IoT smart solutions in the marketplace and
examine them closely in order to identify the technologies used,
functionalities, and applications. More importantly, we identify the trends,
opportunities and open challenges in the industry-based the IoT solutions.
Based on the application domain, we classify and discuss these solutions under
five different categories: smart wearable, smart home, smart, city, smart
environment, and smart enterprise. This survey is intended to serve as a
guideline and conceptual framework for future research in the IoT and to
motivate and inspire further developments. It also provides a systematic
exploration of existing research and suggests a number of potentially
significant research directions.Comment: IEEE Transactions on Emerging Topics in Computing 201
An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor Analytics
Near-sensor data analytics is a promising direction for IoT endpoints, as it
minimizes energy spent on communication and reduces network load - but it also
poses security concerns, as valuable data is stored or sent over the network at
various stages of the analytics pipeline. Using encryption to protect sensitive
data at the boundary of the on-chip analytics engine is a way to address data
security issues. To cope with the combined workload of analytics and encryption
in a tight power envelope, we propose Fulmine, a System-on-Chip based on a
tightly-coupled multi-core cluster augmented with specialized blocks for
compute-intensive data processing and encryption functions, supporting software
programmability for regular computing tasks. The Fulmine SoC, fabricated in
65nm technology, consumes less than 20mW on average at 0.8V achieving an
efficiency of up to 70pJ/B in encryption, 50pJ/px in convolution, or up to
25MIPS/mW in software. As a strong argument for real-life flexible application
of our platform, we show experimental results for three secure analytics use
cases: secure autonomous aerial surveillance with a state-of-the-art deep CNN
consuming 3.16pJ per equivalent RISC op; local CNN-based face detection with
secured remote recognition in 5.74pJ/op; and seizure detection with encrypted
data collection from EEG within 12.7pJ/op.Comment: 15 pages, 12 figures, accepted for publication to the IEEE
Transactions on Circuits and Systems - I: Regular Paper
Internet of Things is a revolutionary approach for future technology enhancement: a review
Abstract Internet of Things (IoT) is a new paradigm that has changed the traditional way of living into a high tech life style. Smart city, smart homes, pollution control, energy saving, smart transportation, smart industries are such transformations due to IoT. A lot of crucial research studies and investigations have been done in order to enhance the technology through IoT. However, there are still a lot of challenges and issues that need to be addressed to achieve the full potential of IoT. These challenges and issues must be considered from various aspects of IoT such as applications, challenges, enabling technologies, social and environmental impacts etc. The main goal of this review article is to provide a detailed discussion from both technological and social perspective. The article discusses different challenges and key issues of IoT, architecture and important application domains. Also, the article bring into light the existing literature and illustrated their contribution in different aspects of IoT. Moreover, the importance of big data and its analysis with respect to IoT has been discussed. This article would help the readers and researcher to understand the IoT and its applicability to the real world
A Methodology for Trustworthy IoT in Healthcare-Related Environments
The transition to the so-called retirement years, comes with the freedom to pursue old passions
and hobbies that were not possible to do in the past busy life. Unfortunately, that freedom
does not come alone, as the previous young years are gone, and the body starts to feel the
time that passed. The necessity to adapt elder way of living, grows as they become more prone
to health problems. Often, the solution for the attention required by the elders is nursing
homes, or similar, that take away their so cherished independence.
IoT has the great potential to help elder citizens stay healthier at home, since it has the
possibility to connect and create non-intrusive systems capable of interpreting data and act
accordingly. With that capability, comes the responsibility to ensure that the collected data is
reliable and trustworthy, as human wellbeing may rely on it. Addressing this uncertainty is the
motivation for the presented work.
The proposed methodology to reduce this uncertainty and increase confidence relies on
a data fusion and a redundancy approach, using a sensor set. Since the scope of wellbeing
environment is wide, this thesis focuses its proof of concept on the detection of falls inside
home environments, through an android app using an accelerometer sensor and a micro-
phone. The experimental results demonstrates that the implemented system has more than
80% of reliable performance and can provide trustworthy results. Currently the app is being
tested also in the frame of the European Union projects Smart4Health and Smart Bear.A transição para os chamados anos de reforma, vem com a liberdade de perseguir velhas pai-
xões e passatempos que na passada vida ocupada não eram possÃveis de realizar. Infelizmente,
essa liberdade não vem sozinha, uma vez que os anos jovens anteriores terminaram, e o corpo
começa a sentir o tempo que passou. A necessidade de adaptar o modo de vida dos menos
jovens, cresce à medida que estes se tornam mais propensos a problemas de saúde. Muitas
vezes, a solução para a atenção que os mais idosos necessitam são os lares de idosos, ou
similares, que lhes tiram a tão querida independência.
IoT tem o grande potencial de ajudar os cidadãos idosos a permanecerem mais saudá-
veis em casa, uma vez que tem a possibilidade de se ligar e criar sistemas não intrusivos capa-
zes de interpretar dados e agir em conformidade. Com essa capacidade, vem a responsabili-
dade de assegurar que os dados recolhidos são fiáveis e de confiança, uma vez que o bem-
estar humano possa depender dos mesmos. Abordar esta incerteza é a motivação para o tra-
balho apresentado.
A metodologia proposta para reduzir esta incerteza e aumentar a confiança no sistema
baseia-se numa fusão de dados e numa abordagem de redundância, utilizando um conjunto
de sensores. Uma vez que o assunto de bem-estar e saúde é vasto, esta tese concentra a sua
prova de conceito na deteção de quedas dentro de ambientes domésticos, através de uma
aplicação android, utilizando um sensor de acelerómetro e um microfone. Os resultados expe-
rimentais demonstram que o sistema implementado tem um desempenho superior a 80% e
pode fornecer dados fiáveis. Atualmente a aplicação está a ser testada também no âmbito dos
projetos da União Europeia Smart4Health e Smart Bear
The Business Solution for Smart Home Building Technology
Smart control plays an increasingly important role in a smart home with wide-spread penetration of Internet of Things. Siemens has been one of the leading companies in building automation, and provides a portfolio on the smart control of the HVAC system and blinds and shutters. However, since the products are expensive and hard to use, Siemens is using a Business to Business model, and considering to change the model toward a customers oriented business model. This project delivers an analysis of the current model and offers a possible business solution
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