scholarly journals City Hub: A Cloud-Based IoT Platform for Smart Cities

2014 ◽  
Author(s):  
Rodger Lea ◽  
Michael Blackstock
Keyword(s):  
Smart Cities ◽  
Iot Platform

scholarly journals Enabling the Industrial Internet of Things to Cloud Continuum in a Real City Environment

Sensors ◽  
2021 ◽  
Vol 21 (22) ◽  
pp. 7707
Author(s):  
Fábio Henrique Cabrini ◽  
Filippo Valiante Valiante Filho ◽  
Pedro Rito ◽  
Albérico Barros Barros Filho ◽  
Susana Sargento ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Smart Cities ◽  
Industrial Internet Of Things ◽  
Global Industry ◽  
Operating Modes ◽  
City Environment ◽  
Iot Platform ◽  
Industrial Internet ◽  
Living Lab ◽  
And Performance

The Industrial Internet of Things (IIoT) is one of the most demanding IoT applications. The insertion of industries in the context of smart cities and other smart environments, allied with new communication technologies such as 5G, brings a new horizon of possibilities and new requirements. These requirements include low latency, the support of a massive quantity of devices and data, and the need to support horizontal communications between devices at the edge level. To make this feasible, it is necessary to establish an IIoT-to-cloud continuum distributing federated brokers across the infrastructure and providing scalability and interoperability. To attend this type of application, we present the Helix Multi-layered IoT platform and its operating modes. We report and discuss its real-world deployment in the Aveiro Tech City Living Lab in Aveiro, Portugal with functional and performance tests. We tested device-to-device communication across edge and core layers and also interconnected the infrastructure with one in São Paulo, Brazil, replicating the use of a global industry. The successful deployment validates the use of a Helix Multi-layered IoT platform as a suitable backend platform for IIoT applications capable of establishing the IIoT-to-cloud continuum. It also helps for the deployment of other applications in such a domain.

Building Future “Smart Energy Cities”

2017 ◽  
pp. 125-147
Keyword(s):  
Energy Use ◽  
Prediction Models ◽  
Smart Cities ◽  
Open Data ◽  
Web Based ◽  
Related Data ◽  
Iot Platform ◽  
Information And Communication ◽  
The City ◽  
And Storage

In the process of building the future cities, Information and Communication Technology (ICT) and Internet of Things (IoT) solutions are the key enablers. Although there are plenty of energy related data available in the cities, there are no established methodologies and validated tools to collect, integrate and analyse them so that they can support energy use optimization. In this context, the aim of this chapter is to present the Smart Cities IoT Platform. A “wireless telemetry cloud” over the city can be created, which facilitates the transferring of open data from the distributed sources (weather station, installed equipment, etc.). The proposed IoT Platform is composed of prediction models, scenarios and rules, as well as a database to store the data and results. With the Smart Cities IoT Platform, web-based applications can be created, customised to the specific characteristics and needs of end-users, including the fields of buildings, infrastructure, transport, generation and storage.

Performance evaluation of FIWARE: A cloud-based IoT platform for smart cities

2019 ◽  
Vol 132 ◽  
pp. 250-261 ◽  
Author(s):  
Victor Araujo ◽  
Karan Mitra ◽  
Saguna Saguna ◽  
Christer Åhlund
Keyword(s):  
Performance Evaluation ◽  
Smart Cities ◽  
Iot Platform

X-IoT: Architecture and Use Cases for an IoT Platform in the Area of Smart Cities

2021 ◽  
pp. 293-316
Author(s):  
Eldar Sultanow ◽  
Alina Chircu ◽  
Sergey Patsko ◽  
Pierre-Adrien Hanania ◽  
Sean Cox ◽  
...  
Keyword(s):  
Smart Cities ◽  
Use Cases ◽  
Iot Platform

scholarly journals Data-sharing markets for integrating IoT data processing functionalities

2021 ◽  
Vol 3 (1) ◽  
pp. 76-93
Author(s):  
Nasr Kasrin ◽  
Aboubakr Benabbas ◽  
Golnaz Elmamooz ◽  
Daniela Nicklas ◽  
Simon Steuer ◽  
...  
Keyword(s):  
Data Processing ◽  
Data Management ◽  
Data Sharing ◽  
Information Exchange ◽  
Smart Cities ◽  
Model Management ◽  
Sensor Data ◽  
Integration Model ◽  
Iot Platform ◽  
Iot Platforms

AbstractThe recent evolution of the Internet of Things into a cyber-physical reality has spawned various challenges from a data management perspective. In addition, IoT platform designers are faced with another set of questions. How can platforms be extended to smoothly integrate new data management functionalities? Currently, data processing related tasks are typically realized by manually developed code and functions which creates difficulties in maintenance and growth. Hence we need to explore other approaches to integration for IoT platforms. In this paper we cover both these aspects: (1) we explore several emerging data management challenges, and (2) we propose an IoT platform integration model that can combine disparate functionalities under one roof. For the first, we focus on the following challenges: sensor data quality, privacy in data streams, machine learning model management, and resource-aware data management. For the second, we propose an information-integration model for IoT platforms. The model revolves around the concept of a Data-Sharing Market where data management functionalities can share and exchange information about their data with other functionalities. In addition, data-sharing markets themselves can be combined into networks of markets where information flows from one market to another, which creates a web of information exchange about data resources. To motivate this work we present a use-case application in smart cities.

IoT Platforms and Technologies Driving Spatial Planning and Analytics

2019 ◽  
pp. 84-112
Author(s):  
Lorenzo Bottaccioli ◽  
Edoardo Patti ◽  
Anna Osello ◽  
Tania Cerquitelli ◽  
Enrico Macii ◽  
...  
Keyword(s):  
Web Service ◽  
Spatial Planning ◽  
Smart Cities ◽  
Research Projects ◽  
Realistic Case ◽  
The Core ◽  
Iot Platform ◽  
Service Oriented ◽  
Iot Platforms ◽  
Access To Data

The continuous evolution of internet of things technologies is constantly evolving the concept of smart cities as well as the surrounding environments. From pervasive sensors through computational nodes at the edge of the network to the cloud and final user applications, the data flow chain makes available to the user a very large and heterogeneous amount of data. IoT platforms are at the core of this chain, providing seamless access to data independently from the hardware devices and making possible the interoperability with other data sources (e.g., GIS, SIM, etc.). Despite the availability of IoT platform solutions either commercial and open-source, research is still very active to design and implement flexible, easy-to-use, and efficient web-service-oriented software infrastructures. This chapter will review the current IoT platform infrastructures making also reference to state-of-the-art solutions in literature and proposed in recent research projects. The chapter will outline the main challenges and directions about future platforms, putting them in the context of realistic case studies.

scholarly journals Evaluating ThingSpeak as an IoT Event Platform on building a Smart Parking Application

2019 ◽  
Author(s):  
Aluizio Rocha ◽  
Arthur Souza ◽  
Dannylo Johnathan ◽  
Gibeon Aquino ◽  
Rafael Queiroz ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Smart Cities ◽  
Cloud Service ◽  
The Internet ◽  
Iot Platform ◽  
Ubiquitous Systems ◽  
New Models ◽  
Smart Parking ◽  
Computational Systems ◽  
The Internet Of Things

Many technologies are needed to build computational systems in the context of Smart Cities. At present, the construction of scalable, intelligent and ubiquitous systems is a constant challenge for developers. The evolution of the Internet of Things is one of the several paths to be pursued with the aid of this development. In this way, new models and platforms have been proposed to support the development of its applications. Allied to this challenge this work presents a generic and a conceptual model of an IoT application for Smart Parking. This model is implemented as RFID and RaspberryPi. In addition, it eval- uates the ThingSpeak cloud service for its use as an IoT platform.

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