A comprehensive review of communication technologies for street lighting applications in smart cities

Author(s):  
Murat Kuzlu ◽  
Manisa Pipattanasomporn
Author(s):  
Tomas Brusell

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".


2020 ◽  
Author(s):  
Fábio Rodrigues de la Rocha

Public street lighting management is a well known problemwhich can be revisited from the perspective of Smart Cities.In Smart Cities there is an interconnection of services andinfrastructure to provide sustainable growth and improvementsin citizens’ quality of life. In this research work, weexplore new low cost technologies to create a smart streetlight system capable of monitoring and controlling the lamps,thus reducing the costs with maintenance and allowing amore rational use of electricity.


2021 ◽  
Author(s):  
FARZAN SHENAVARMASOULEH ◽  
Farid Ghareh Mohammadi ◽  
M. Hadi Amini ◽  
Hamid R. Arabnia

<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>


Author(s):  
Eric Luiijf

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.


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.


2019 ◽  
pp. 1393-1406
Author(s):  
Dmitry Namiot ◽  
Manfred Sneps-Sneppe

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.


Author(s):  
Jens Kohler ◽  
Thomas Specht

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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