Streamlining IoT system development with open standards

2020 ◽  
Vol 62 (5-6) ◽  
pp. 215-226
Author(s):  
Ege Korkan ◽  
Sebastian Kaebisch ◽  
Sebastian Steinhorst
Keyword(s):  
Industry 4.0 ◽  
Smart Home ◽  
World Wide ◽  
System Development ◽  
Smart Cities ◽  
Time To Market ◽  
Wide Range ◽  
The World ◽  
Iot Devices ◽  
The Internet Of Things

AbstractThe Internet of Things (IoT) is bringing Internet connectivity to a wide range of devices which results in an increasing number of products for smart home, industry 4.0 and/or smart cities. Even though IoT has the ambition to reach an increasing amount of devices and be scalable across different domains, lack of interoperability inhibits this scope to be attained. Recent standardization efforts by the World Wide Web Consortium (W3C) are addressing the interoperability problem by the means of Thing Description (TD) that allows humans and machines to understand the capabilities and communication interfaces of IoT devices. In this paper, we show a more systematic and streamlined development of IoT devices and systems that relies on the TD standard. We introduce three different complementary methods that can be applied independently in the different stages of the development, or as a framework to streamline the development of IoT devices and systems. As a result of using the TD standard, interoperability between IoT devices of various stakeholders is ensured from early stages and the time to market is reduced.

EMERGING TECHNOLOGIES AND APPLICATIONS FOR SMART CITIES

2021 ◽  
Vol 15 (02) ◽  
pp. 19-24
Author(s):  
Vishv Patel ◽  
Devansh Shah ◽  
Nishant Doshi
Keyword(s):  
Internet Of Things ◽  
Smart City ◽  
Emerging Technologies ◽  
Smart Cities ◽  
The Internet ◽  
The World ◽  
Iot Devices ◽  
The City ◽  
The Internet Of Things ◽  
Day By Day

The large deployment of the Internet of Things (IoT) is empowering Smart City tasks and activities everywhere throughout the world. Items utilized in day-by-day life are outfitted with IoT devices and sensors to make them interconnected and connected with the internet. Internet of Things (IoT) is a vital piece of a smart city that tremendously impact on all the city sectors, for example, governance, healthcare, mobility, pollution, and transportation. This all connected IoT devices will make the cities smart. As different smart city activities and undertakings have been propelled in recent times, we have seen the benefits as well as the risks. This paper depicts the primary challenges and weaknesses of applying IoT innovations dependent on smart city standards. Moreover, this paper points the outline of the technologies and applications of the smart cities.

Tools and Platforms for Developing IoT Systems

2022 ◽  
pp. 1202-1221
Author(s):  
Görkem Giray
Keyword(s):  
Data Storage ◽  
System Development ◽  
Communication Technologies ◽  
Integrated Development ◽  
Device Management ◽  
The World ◽  
Integrated Development Environments ◽  
Iot Devices ◽  
Business Requirements ◽  
The Internet Of Things

The internet of things (IoT) transforms the world in many ways. It combines many types of hardware and software with a variety of communication technologies to enable the development of innovative applications. A typical IoT system consists of IoT device, IoT gateway, IoT platform, and IoT application. Developing these elements and delivering an IoT system for fulfilling business requirements encompasses many activities to be executed and is not straightforward. To expedite these activities, some major vendors provide software development kits (SDK), integrated development environments (IDE), and utility tools for developing software to be executed on IoT devices/gateways. Moreover, these vendors utilize their cloud platforms to provide fundamental services, such as data storage, analytics, stream processing, for developing IoT systems. These vendors also developed IoT specific cloud-based services, such as connectivity and device management, to support IoT system development. This chapter presents an overview of tools and platforms provided by five major vendors.

scholarly journals Smart Home Powered by Social Network for Citizen Security

2021 ◽  
pp. 1-6
Author(s):  
Víctor H. Benítez ◽  
◽  
Gustavo C. Soto ◽  
Luis C. Félix-Herrán ◽  
Jesús Pacheco
Keyword(s):  
Social Network ◽  
Smart Home ◽  
The Internet ◽  
Cloud Server ◽  
The World ◽  
The Status ◽  
Iot Platforms ◽  
Citizen Security ◽  
Iot Devices ◽  
The Internet Of Things

Nowadays, the Internet of Things is used to transfer information from human to human and from human to machine. In this paper, we propose the use of IoT platforms to link those homes that are equipped with IoT capabilities, in order to increase security and prevent from a crime to a fire, and even monitor health status of a person. Using a microcontroller, it is possible to send information to a cloud server capable of sharing this information with other households connected to the platform, as well as allowing linking this data to one of the most used social networks in the world: Facebook. Linking smart homes with social network, allows to consult the status of sensors and IoT devices empowering citizen security against crime, violence and events that could put the integrity of people at risk both in their property and their health. The study is carried out for a particular region of Latin America, given its high rates of violence against citizens that have occurred in recent years.

Tools and Platforms for Developing IoT Systems

2019 ◽  
pp. 223-241
Author(s):  
Görkem Giray
Keyword(s):  
Data Storage ◽  
System Development ◽  
Communication Technologies ◽  
Integrated Development ◽  
Device Management ◽  
The World ◽  
Integrated Development Environments ◽  
Iot Devices ◽  
Business Requirements ◽  
The Internet Of Things

The internet of things (IoT) transforms the world in many ways. It combines many types of hardware and software with a variety of communication technologies to enable the development of innovative applications. A typical IoT system consists of IoT device, IoT gateway, IoT platform, and IoT application. Developing these elements and delivering an IoT system for fulfilling business requirements encompasses many activities to be executed and is not straightforward. To expedite these activities, some major vendors provide software development kits (SDK), integrated development environments (IDE), and utility tools for developing software to be executed on IoT devices/gateways. Moreover, these vendors utilize their cloud platforms to provide fundamental services, such as data storage, analytics, stream processing, for developing IoT systems. These vendors also developed IoT specific cloud-based services, such as connectivity and device management, to support IoT system development. This chapter presents an overview of tools and platforms provided by five major vendors.

scholarly journals MicroServices Suite for Smart City Applications

Sensors ◽  
2019 ◽  
Vol 19 (21) ◽  
pp. 4798 ◽  
Author(s):  
Claudio Badii ◽  
Pierfrancesco Bellini ◽  
Angelo Difino ◽  
Paolo Nesi ◽  
Gianni Pantaleo ◽  
...  
Keyword(s):  
Smart City ◽  
Data Analytics ◽  
First Generation ◽  
Smart Cities ◽  
Data Gathering ◽  
Iot Applications ◽  
Wide Range ◽  
Data Flows ◽  
Iot Devices ◽  
The Internet Of Things

Smart Cities are approaching the Internet of Things (IoT) World. Most of the first-generation Smart City solutions are based on Extract Transform Load (ETL); processes and languages that mainly support pull protocols for data gathering. IoT solutions are moving forward to event-driven processes using push protocols. Thus, the concept of IoT applications has turned out to be widespread; but it was initially “implemented” with ETL; rule-based solutions; and finally; with true data flows. In this paper, these aspects are reviewed, highlighting the requirements for smart city IoT applications and in particular, the ones that implement a set of specific MicroServices for IoT Applications in Smart City contexts. Moreover; our experience has allowed us to implement a suite of MicroServices for Node-RED; which has allowed for the creation of a wide range of new IoT applications for smart cities that includes dashboards, IoT Devices, data analytics, discovery, etc., as well as a corresponding Life Cycle. The proposed solution has been validated against a large number of IoT applications, as it can be verified by accessing the https://www.Snap4City.org portal; while only three of them have been described in the paper. In addition, the reported solution assessment has been carried out by a number of smart city experts. The work has been developed in the framework of the Select4Cities PCP (PreCommercial Procurement), funded by the European Commission as Snap4City platform.

scholarly journals IoT Traffic: Modeling and Measurement Experiments

IoT ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 140-162
Author(s):  
Hung Nguyen-An ◽  
Thomas Silverston ◽  
Taku Yamazaki ◽  
Takumi Miyoshi
Keyword(s):  
Smart Home ◽  
Large Scale ◽  
Traffic Modeling ◽  
The Novel ◽  
Network Behavior ◽  
Performance Accuracy ◽  
Traffic Generator ◽  
Multiple Devices ◽  
Iot Devices ◽  
The Internet Of Things

We now use the Internet of things (IoT) in our everyday lives. The novel IoT devices collect cyber–physical data and provide information on the environment. Hence, IoT traffic will count for a major part of Internet traffic; however, its impact on the network is still widely unknown. IoT devices are prone to cyberattacks because of constrained resources or misconfigurations. It is essential to characterize IoT traffic and identify each device to monitor the IoT network and discriminate among legitimate and anomalous IoT traffic. In this study, we deployed a smart-home testbed comprising several IoT devices to study IoT traffic. We performed extensive measurement experiments using a novel IoT traffic generator tool called IoTTGen. This tool can generate traffic from multiple devices, emulating large-scale scenarios with different devices under different network conditions. We analyzed the IoT traffic properties by computing the entropy value of traffic parameters and visually observing the traffic on behavior shape graphs. We propose a new method for identifying traffic entropy-based devices, computing the entropy values of traffic features. The method relies on machine learning to classify the traffic. The proposed method succeeded in identifying devices with a performance accuracy up to 94% and is robust with unpredictable network behavior with traffic anomalies spreading in the network.

scholarly journals A survey on approaches to the protection of personal data gathered by IoT devices

2018 ◽  
Author(s):  
Henry Tranter
Keyword(s):  
Internet Of Things ◽  
Personal Data ◽  
The Internet ◽  
Ideal Solution ◽  
Security Systems ◽  
Personal Lives ◽  
Is Security ◽  
The World ◽  
Iot Devices ◽  
The Internet Of Things

Security is always at the forefront of developing technologies. One can seldom go a week without hearing of a new data breach or hacking attempt from various groups around the world, often taking advantage of a simple flaw in a system’s architecture. The Internet of Things (IoT) is one of these developing technologies which may be at risk of such attacks. IoT devices are becoming more and more prevalent in everyday life. From keeping track of an individual’s health, to suggesting meals from items available in an individual’s fridge, these technologies are taking a much larger role in the personal lives of their users. With this in mind, how is security being considered in the development of these technologies? Are these devices that monitor individual’s personal lives just additional vectors for potential data theft? Throughout this survey, various approaches to the development of security systems concerning IoT devices in the home will be discussed, compared, and contrasted in the hope of providing an ideal solution to the problems this technology may produce.

scholarly journals A survey on approaches to the protection of personal data gathered by IoT devices

2018 ◽  
Author(s):  
Henry Tranter
Keyword(s):  
Internet Of Things ◽  
Personal Data ◽  
The Internet ◽  
Ideal Solution ◽  
Security Systems ◽  
Personal Lives ◽  
Is Security ◽  
The World ◽  
Iot Devices ◽  
The Internet Of Things

Security is always at the forefront of developing technologies. One can seldom go a week without hearing of a new data breach or hacking attempt from various groups around the world, often taking advantage of a simple flaw in a system’s architecture. The Internet of Things (IoT) is one of these developing technologies which may be at risk of such attacks. IoT devices are becoming more and more prevalent in everyday life. From keeping track of an individual’s health, to suggesting meals from items available in an individual’s fridge, these technologies are taking a much larger role in the personal lives of their users. With this in mind, how is security being considered in the development of these technologies? Are these devices that monitor individual’s personal lives just additional vectors for potential data theft? Throughout this survey, various approaches to the development of security systems concerning IoT devices in the home will be discussed, compared, and contrasted in the hope of providing an ideal solution to the problems this technology may produce.

Green IoT (G-IoT) Ecosystem for Smart Cities

2021 ◽  
pp. 1-37
Author(s):  
Vasaki Ponnusamy ◽  
Bobby Sharma ◽  
Waqas Nadeem ◽  
Goh Hock Guan ◽  
N. Z. Jhanjhi
Keyword(s):  
Internet Of Things ◽  
Mobile Phones ◽  
Green Infrastructure ◽  
Industry 4.0 ◽  
Smart Cities ◽  
Green Energy ◽  
The Internet ◽  
Food Packages ◽  
The World ◽  
Conceptual Study

We are in the era of Industry 4.0 with the world going towards everything, everywhere, and anytime with “things” being enablers of technology. Our world is becoming smarter with everything (mobile phones, cars, TVs) connected to each, having unique addresses and communication mechanisms. It is foreseen that by 2025 every little thing, like pen, paper, food packages, etc., would be operated over the internet by internet of things (IoT) towards a smarter world. However, in order to enable the smart world to be sustainable, IoT should be embarking into energy efficient (green) paradigms. Since IoT is also a key enabler for smart cities, a green-aware design of smart cities could see a potential to create a green IoT ecosystem for smart cities. This ecosystem would comprise the green IoT lifecycle, the six pillars of smart cities, and focusing on the green infrastructure, green applications, and green energy. This conceptual study would motivate researchers embarking into smart city projects and keeping green concepts intact in their design and implementations.

scholarly journals A Lightweight Slice-Based Quality of Service Manager for IoT

IoT ◽  
2020 ◽  
Vol 1 (1) ◽  
pp. 49-75
Author(s):  
Antonio Oliveira-Jr ◽  
Kleber Cardoso ◽  
Filipe Sousa ◽  
Waldir Moreira
Keyword(s):  
Quality Of Service ◽  
Industry 4.0 ◽  
Farming Systems ◽  
Smart Manufacturing ◽  
Network Slicing ◽  
Wide Range ◽  
The Internet Of Things ◽  
Service Manager ◽  
Digital Farming

Industry 4.0 and digital farming rely on modern communication and computation technologies such as the Internet of Things (IoT) to provide smart manufacturing and farming systems. Having in mind a scenario with a high number of heterogeneous connected devices, with varying technologies and characteristics, the deployment of Industry 4.0 and digital farming solutions faces innovative challenges in different domains (e.g., communications, security, quality of service). Concepts such as network slicing and Software-Defined Networking (SDN) provide the means for faster, simpler, scalable and flexible solutions in order to serve a wide range of applications with different Quality-of-Service (QoS) requirements. Hence, this paper proposes a lightweight slice-based QoS manager for non-3GPP IoT focusing on different use cases and their varying requirements and characteristics. Our focus in this work is on non-3GPP IoT unlicensed wireless technologies and not specifically the end-to-end network slice perspective as described in 5G standards. We implemented and evaluated different QoS models in distinct scenarios in a real experimental environment in order to illustrate the potential of the proposed solution.

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