The IoT Vision

2021 ◽  
Vol 11 (4) ◽  
pp. 1-12
Author(s):  
Daniel Del Gaudio ◽  
Pascal Hirmer
Keyword(s):  
Smart Cities ◽  
Communication Technologies ◽  
Complex Environments ◽  
Research Gaps ◽  
Sensors And Actuators ◽  
Internet Protocols ◽  
Survey Paper ◽  
Research Areas ◽  
Common Goals ◽  
Smart Factories

The internet of things envisions self-controlled and decentralized environments in which hardware devices, equipped with sensors and actuators, communicate with each other through standardized internet protocols to reach common goals. However, this leads to very complex environments, for example smart factories, which require fulfilling a large variety of challenges to enable functioning IoT applications. These challenges include, for example, powerful communication technologies and standards, security, privacy, efficiency, or robustness. Hence, a combination of many different research areas is necessary to create holistic IoT environments and applications. This is especially the case in safety-critical environments, such as smart cities or smart factories. In this survey paper, the authors discuss challenges and research gaps in the area of IoT. By doing so, they discuss whether these challenges are fulfilled by state-of-the-art approaches or whether there are still research gaps to be filled.

scholarly journals Models for Internet of Things Environments—A Survey

Information ◽  
2020 ◽  
Vol 11 (10) ◽  
pp. 487
Author(s):  
Ana Cristina Franco da Silva ◽  
Pascal Hirmer
Keyword(s):  
Internet Of Things ◽  
State Of The Art ◽  
Smart Cities ◽  
Self Organization ◽  
Context Aware ◽  
Sensors And Actuators ◽  
Relational Models ◽  
Comparative Survey ◽  
Smart Factories ◽  
The Internet Of Things

Today, the Internet of Things (IoT) is an emerging topic in research and industry. Famous examples of IoT applications are smart homes, smart cities, and smart factories. Through highly interconnected devices, equipped with sensors and actuators, context-aware approaches can be developed to enable, e.g., monitoring and self-organization. To achieve context-awareness, a large amount of environment models have been developed for the IoT that contain information about the devices of an environment, their attached sensors and actuators, as well as their interconnection. However, these models highly differ in their content, the format being used, for example ontologies or relational models, and the domain to which they are applied. In this article, we present a comparative survey of models for IoT environments. By doing so, we describe and compare the selected models based on a deep literature research. The result is a comparative overview of existing state-of-the-art IoT environment models.

Technologies Disability and Inclusion

2018 ◽  
Author(s):  
Tomas Brusell
Keyword(s):  
Social Media ◽  
Augmented Reality ◽  
Information And Communication Technologies ◽  
Future Development ◽  
Smart Cities ◽  
Communication Technologies ◽  
Modern Technology ◽  
The Social ◽  
The Disabled ◽  
Information And Communication

When modern technology permeates every corner of life, there are ignited more and more hopes among the disabled to be compensated for the loss of mobility and participation in normal life, and with Information and Communication Technologies (ICT), Exoskeleton Technologies and truly hands free technologies (HMI), it's possible for the disabled to be included in the social and pedagogic spheres, especially via computers and smartphones with social media apps and digital instruments for Augmented Reality (AR) .In this paper a nouvel HMI technology is presented with relevance for the inclusion of disabled in every day life with specific focus on the future development of "smart cities" and "smart homes".

scholarly journals Virtualizing AI at the Distributed Edge Towards Intelligent IoT Applications

2021 ◽  
Vol 10 (1) ◽  
pp. 13
Author(s):  
Claudia Campolo ◽  
Giacomo Genovese ◽  
Antonio Iera ◽  
Antonella Molinaro
Keyword(s):  
Resource Constraints ◽  
Smart Cities ◽  
Traditional Approach ◽  
Low Cost ◽  
Iot Applications ◽  
Software And Hardware ◽  
Iot Devices ◽  
Consumer Devices ◽  
Hardware Platforms ◽  
Smart Factories

Several Internet of Things (IoT) applications are booming which rely on advanced artificial intelligence (AI) and, in particular, machine learning (ML) algorithms to assist the users and make decisions on their behalf in a large variety of contexts, such as smart homes, smart cities, smart factories. Although the traditional approach is to deploy such compute-intensive algorithms into the centralized cloud, the recent proliferation of low-cost, AI-powered microcontrollers and consumer devices paves the way for having the intelligence pervasively spread along the cloud-to-things continuum. The take off of such a promising vision may be hurdled by the resource constraints of IoT devices and by the heterogeneity of (mostly proprietary) AI-embedded software and hardware platforms. In this paper, we propose a solution for the AI distributed deployment at the deep edge, which lays its foundation in the IoT virtualization concept. We design a virtualization layer hosted at the network edge that is in charge of the semantic description of AI-embedded IoT devices, and, hence, it can expose as well as augment their cognitive capabilities in order to feed intelligent IoT applications. The proposal has been mainly devised with the twofold aim of (i) relieving the pressure on constrained devices that are solicited by multiple parties interested in accessing their generated data and inference, and (ii) and targeting interoperability among AI-powered platforms. A Proof-of-Concept (PoC) is provided to showcase the viability and advantages of the proposed solution.

scholarly journals A HOLISTIC LITERATURE REVIEW OF BUILDING INFORMATION MODELING FOR PREFABRICATED CONSTRUCTION

2021 ◽  
Vol 27 (7) ◽  
pp. 485-499
Author(s):  
Shengxi Zhang ◽  
Zhongfu Li ◽  
Tianxin Li ◽  
Mengqi Yuan
Keyword(s):  
Building Information Modeling ◽  
Information Modeling ◽  
Journal Articles ◽  
Research Gaps ◽  
Research Areas ◽  
Body Of Knowledge ◽  
Future Needs ◽  
Building Information ◽  
Timely Fashion ◽  
Increase Productivity

Building information modeling (BIM) and prefabricated construction (PC) are increasingly applied in the construction industry. Recent academic and industrial efforts indicated that the application of BIM and PC is a solution to reduce lifecycle costs, reduce waste, increase productivity and improve quality in construction. Although previous studies have advanced the integration of BIM and PC, extensive research scope and scattered research topics cannot form an overall picture of knowledge structure. Hence, this study aims to establish an up-to-date synthesis of the latest research on BIM for PC and identify the research gaps and future needs. First, a database with 103 journal articles on BIM for PC was established through data collection; second, a bibliometric analysis was applied to determine the top journals, articles and to map the latest mainstream research. Last, a qualitative analysis was used to determine the mainstream research areas and identify the research gaps and future needs. This study may contribute to enrich our body of knowledge on the use of the techniques in conjunction, help researchers and builders to understand the latest progress of BIM for PC research in timely fashion, and promote the integration of BIM with PC and other cutting-edge technologies moving forward.

scholarly journals Digital Transformation using Iot in Smart Environment Applications

2020 ◽  
Vol 9 (7) ◽  
pp. 47-50
Keyword(s):  
Control System ◽  
Traffic Control ◽  
Smart Cities ◽  
Smart Services ◽  
Research Areas ◽  
Searching Strategy ◽  
Review Protocol ◽  
Traffic Control System ◽  
Research Questions

With increasing usage of technologies and smart solutions smart cities are developed and enabled with many smart services. This paper has conducted a systematic literature review to find out IOT applications and its role in Traffic Control System. The review protocol is formulated to define some of the research questions, searching strategy, selection criteria of papers and how data is extracted. This paper contributed towards one main issue: The various research areas of Internet of Things and Role of IOT in the Traffic Control Services? All the papers were categorized by the application services of IOT and Traffic Control services they discussed. All the recent work were categorised under the application in various area like traffic and transport; Agriculture; Security; Healthcare; energy management; city infrastructure; and modes of transport. This paper reviews the various methods of traffic control system in different perspective of different IOT application areas.

scholarly journals Embodied AI-Driven Operation of Smart Cities: A Concise Review

2021 ◽  
Author(s):  
FARZAN SHENAVARMASOULEH ◽  
Farid Ghareh Mohammadi ◽  
M. Hadi Amini ◽  
Hamid R. Arabnia
Keyword(s):  
Information And Communication Technologies ◽  
Smart City ◽  
Smart Cities ◽  
Communication Technologies ◽  
Autonomous Driving ◽  
Future Research ◽  
Intelligent Network ◽  
Concise Review ◽  
Information And Communication ◽  
Cloud Technologies

<div>A smart city can be seen as a framework, comprised of Information and Communication Technologies (ICT). An intelligent network of connected devices that collect data with their sensors and transmit them using wireless and cloud technologies in order to communicate with other assets in the ecosystem plays a pivotal role in this framework. Maximizing the quality of life of citizens, making better use of available resources, cutting costs, and improving sustainability are the ultimate goals that a smart city is after. Hence, data collected from these connected devices will continuously get thoroughly analyzed to gain better insights into the services that are being offered across the city; with this goal in mind that they can be used to make the whole system more efficient.</div><div>Robots and physical machines are inseparable parts of a smart city. Embodied AI is the field of study that takes a deeper look into these and explores how they can fit into real-world environments. It focuses on learning through interaction with the surrounding environment, as opposed to Internet AI which tries to learn from static datasets. Embodied AI aims to train an agent that can See (Computer Vision), Talk (NLP), Navigate and Interact with its environment (Reinforcement Learning), and Reason (General Intelligence), all at the same time. Autonomous driving cars and personal companions are some of the examples that benefit from Embodied AI nowadays.</div><div>In this paper, we attempt to do a concise review of this field. We will go through its definitions, its characteristics, and its current achievements along with different algorithms, approaches, and solutions that are being used in different components of it (e.g. Vision, NLP, RL). We will then explore all the available simulators and 3D interactable databases that will make the research in this area feasible. Finally, we will address its challenges and identify its potentials for future research.</div>

Next Generation Information-Based Infrastructures

2013 ◽  
pp. 304-317
Author(s):  
Eric Luiijf
Keyword(s):  
Information And Communication Technologies ◽  
Cyber Security ◽  
Smart Cities ◽  
Communication Technologies ◽  
Road Transport ◽  
Transport Infrastructure ◽  
Next Generation ◽  
Tightly Coupled ◽  
Information And Communication ◽  
Ict Security

Advancements of information and communication technologies (ICT) cause infrastructure owners to augment current infrastructures with such ICT. The creation of more efficient and effective end-user services provides economical benefits and increases customer satisfaction. Concurrently, ICT advancements allow governmental and industrial sectors to develop complete new infrastructures and infrastructure services, the so called Next Generation Infrastructures (NGI). NGI will offer new services to society, end-users and the supply-chain of organisations and linked, dependent infrastructural services. For over fifty years, the introduction of new ICT-based services and infrastructures has been tightly coupled with failures in ICT-security. This chapter on NGI discusses the root causes of these security failures. Based on historical experiences, this chapter predicts threats and cyber security failures alike for the envisioned NGI such as smart (energy) grids, smart road transport infrastructure, smart cities, and e-health. This prediction will become reality unless fundamental changes in the approach to security of ICT-based and ICT-controlled infrastructures are taken.

New Urban Layers and Spaces

2019 ◽  
pp. 72-103
Keyword(s):  
Information And Communication Technologies ◽  
Smart Cities ◽  
Communication Technologies ◽  
Research Literature ◽  
The Internet ◽  
Study Approach ◽  
Challenges And Opportunities ◽  
Information And Communication ◽  
Multiple Domains

This chapter explores infrastructures, experiences, and interactions in relation to emerging urban layers and spaces for engagement in the city. The purpose of this chapter is to shed light on the digital layers enabled by information and communication technologies, the internet of things, the internet of people, and other emerging technologies to complement and extend existing urban infrastructural layers. The research literature for infrastructures, experiences, and interactions is explored in this chapter in the context of smart cities, enabling identification of issues, controversies, and problems. Using an exploratory case study approach, solutions and recommendations are advanced. This chapter makes a contribution to 1) the research literature across multiple domains, 2) the identification of challenges and opportunities for research and practice relating to emerging urban layers and spaces going forward, and 3) the extending of existing understandings of urbanity to incorporate digital layers and spaces enabling connected, contextual, and continuous engagement.

On Internet of Things and Big Data in University Courses

2019 ◽  
pp. 1393-1406
Author(s):  
Dmitry Namiot ◽  
Manfred Sneps-Sneppe
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Information And Communication Technologies ◽  
Smart Cities ◽  
Communication Technologies ◽  
Machine To Machine ◽  
University Courses ◽  
Information And Communication ◽  
The University ◽  
Educational Course

In this paper, the authors discuss Internet of Things educational programs for universities. The authors' final goal is to provide a structure for a new educational course for Internet of Things and related areas such as Machine to Machine communications and Smart Cities. The Internet of Things skills are in high demands nowadays and, of course, Internet of Things models, as well as appropriate Big Data proceedings elements should have a place in the university courses. The purpose of the proposed educational course is to cover information and communication technologies used in Internet of Things systems and related areas, such as Smart Cities. The educational course proposed in this paper aims to introduce students to modern information and communication technologies and create the formation of competencies needed for such areas as Machine to Machine communications, Internet of Things, and Smart Cities. Also, the authors discuss Big Data issues for IoT course and explain the importance of data engineering.

Towards a Secure, Distributed, and Reliable Cloud-Based Reference Architecture for Big Data in Smart Cities

2019 ◽  
pp. 38-70 ◽  
Author(s):  
Jens Kohler ◽  
Thomas Specht
Keyword(s):  
Big Data ◽  
Information And Communication Technologies ◽  
Traffic Management ◽  
Smart Cities ◽  
Communication Technologies ◽  
Distributed Data ◽  
Reference Architecture ◽  
Urban Services ◽  
Confidential Data ◽  
Information And Communication

Current revolutions with respect to big data affect people's everyday life more and more. New ways of living, communication, and knowledge sharing have been created under the smart city umbrella. Information and communication technologies (ICT) are used to improve urban services. Examples are car sharing, energy consumption, adaptive traffic management, etc. A closer look at these services reveals that data, produced and consumed by people (or automatically by devices), are the cornerstone for working and reliable urban services. For this, large volumes of data with a great variety have to be processed at a high velocity which is commonly known as big data. This chapter designs a secure, distributed, and reliable cloud-based reference architecture that logically separates confidential data and distributes them to various databases in different clouds. It increases the reliability of the distributed data with high-availability mechanisms to protect data against various threads (e.g., hackers, terrorists, data collecting companies, etc.).

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