scholarly journals Internet of Things-based Street Lighting System with Message Queuing Telemetry Transport and Progressive Web Application

2021 ◽  
Author(s):  
Irmayanti H ◽  
◽  
Tosin T ◽  
Mahdi M L ◽  
Yosafat B ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Web Application ◽  
The Internet ◽  
Lighting System ◽  
Street Lighting ◽  
Lighting Conditions ◽  
Web App ◽  
Status Data ◽  
And Control ◽  
The Internet Of Things

The purpose of this study is to implement the Message Queuing Telemetry Transport (MQTT) protocol and the Progressive Web App (PWA) of the Internet of Things (IoT) based public street lighting system. The MQTT (Message Queuing Telemetry Transport) protocol is a protocol that runs on the TCP / IP stack and is specially designed for machine to machine that does not have a special address. Progressive web application (PWA) is a software creation method by combining regular websites with mobile & desktop applications. This research is a development from previous research on Automatic Public Street Lighting. The development carried out includes a communication system, monitoring of lighting conditions, and automation or manual control of lights. The results obtained are the ease of monitoring lamp conditions and early detection of lamp problems. These results are obtained from the data sent by each street light, in the form of lamp status data, voltage, and electric current, through Long Range (LoRa) communication to the gateway using a radio network. The gateway data is then sent to the broker via the internet using the MQTT protocol and control and monitoring street light conditions using the Real-time Website and a mobile device. This research's impact is that street lighting monitoring and maintenance can be carried out more efficiently.

scholarly journals Management of Software-Defined Networking Powered by Artificial Intelligence

2021 ◽  
Author(s):  
Jehad Ali ◽  
Byeong-hee Roh
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Internet Of Things ◽  
Heterogeneous Networks ◽  
Software Defined Networking ◽  
Machine Learning Algorithms ◽  
The Internet ◽  
Underlying Network ◽  
And Control ◽  
The Internet Of Things

Separating data and control planes by Software-Defined Networking (SDN) not only handles networks centrally and smartly. However, through implementing innovative protocols by centralized controllers, it also contributes flexibility to computer networks. The Internet-of-Things (IoT) and the implementation of 5G have increased the number of heterogeneous connected devices, creating a huge amount of data. Hence, the incorporation of Artificial Intelligence (AI) and Machine Learning is significant. Thanks to SDN controllers, which are programmable and versatile enough to incorporate machine learning algorithms to handle the underlying networks while keeping the network abstracted from controller applications. In this chapter, a software-defined networking management system powered by AI (SDNMS-PAI) is proposed for end-to-end (E2E) heterogeneous networks. By applying artificial intelligence to the controller, we will demonstrate this regarding E2E resource management. SDNMS-PAI provides an architecture with a global view of the underlying network and manages the E2E heterogeneous networks with AI learning.

scholarly journals The spectrum of control: A social theory of the smart city

First Monday ◽  
2015 ◽  
Author(s):  
Jathan Sadowski ◽  
Frank Pasquale
Keyword(s):  
Internet Of Things ◽  
Social Theory ◽  
Smart City ◽  
Critical Infrastructure ◽  
The Internet ◽  
Control Mechanisms ◽  
Physical Objects ◽  
Smart Technologies ◽  
And Control ◽  
The Internet Of Things

There is a certain allure to the idea that cities allow a person to both feel at home and like a stranger in the same place. That one can know the streets and shops, avenues and alleys, while also going days without being recognized. But as elites fill cities with “smart” technologies — turning them into platforms for the “Internet of Things” (IoT): sensors and computation embedded within physical objects that then connect, communicate, and/or transmit information with or between each other through the Internet — there is little escape from a seamless web of surveillance and power. This paper will outline a social theory of the “smart city” by developing our Deleuzian concept of the “spectrum of control.” We present two illustrative examples: biometric surveillance as a form of monitoring, and automated policing as a particularly brutal and exacting form of manipulation. We conclude by offering normative guidelines for governance of the pervasive surveillance and control mechanisms that constitute an emerging critical infrastructure of the “smart city.”

scholarly journals The Next Generation Internet of Things Architecture Towards Distributed Intelligence: Reviews, Applications, and Research Challenges

2020 ◽  
Author(s):  
Tanweer Alam ◽  
Baha Rababah ◽  
Rasit Eskicioglu
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Raw Data ◽  
Next Generation Internet ◽  
Distributed Intelligence ◽  
Research Challenges ◽  
Network Load ◽  
And Control ◽  
Edge Layer ◽  
The Internet Of Things

Increasing the implication of growing data generated by the Internet of Things (IoT) brings the focus toward extracting knowledge from sensors’ raw data. In the current cloud computing architecture, all the IoT raw data is transmitted to the cloud for processing, storage, and control things. Nevertheless, the scenario of sending all raw data to the cloud is inefficient as it wastes the bandwidth and increases the network load. This problem can be solved by Providing IoT Gateway at the edge layer with the required intelligence to gain the Knowledge from raw data to decide to actuate or offload complicated tasks to the cloud. This collaboration between cloud and edge called distributed intelligence. This work highlights the distributed intelligence concept in IoT. It presents a deep investigation of distributed intelligence between cloud and edge layers under IoT architecture, with an emphasis on its vision, applications, and research challenges. This work aims to bring the attention of IoT specialists to distributed intelligence and its role to deduce current IoT challenges such as availability, mobility, energy efficiency, security, scalability, interoperability, and reliability.

scholarly journals Smart Monitoring and Control in the Future Internet of Things

Sensors ◽  
2021 ◽  
Vol 22 (1) ◽  
pp. 27
Author(s):  
Franco Cicirelli ◽  
Antonio Guerrieri ◽  
Andrea Vinci
Keyword(s):  
Quality Of Life ◽  
Internet Of Things ◽  
Future Internet ◽  
The Internet ◽  
Monitoring And Control ◽  
The Future ◽  
And Control ◽  
The Internet Of Things

The Internet of Things (IoT) and related technologies are promising in terms of realizing pervasive and smart applications, which, in turn, have the potential to improve the quality of life of people living in a connected world [...]

scholarly journals IoT Masters Programs

2021 ◽  
pp. 53-57
Author(s):  
М.А. Держо ◽  
М.М. Лаврентьев ◽  
А.В. Шафаренко
Keyword(s):  
Internet Of Things ◽  
Cyber Security ◽  
Information Technologies ◽  
Systems Design ◽  
Team Development ◽  
The Internet ◽  
Development Effort ◽  
Applied Math ◽  
And Control ◽  
The Internet Of Things

В данной работе обсуждаются фундаментальные вопросы разработки программ магистратуры в области Интернета вещей (Internet of Things — IoT). Мы кратко сравниваем предложения Сколтеха и Стэнфорда и утверждаем, что наиболее гибкое решение достигается посредством вводного блока и четырех параллельных потоков учебных курсов: обработка сигналов и управление, обучение машин и искусственный интеллект (ИИ), программирование и схемотехника платформ с применением микроконтроллеров, и, наконец, сети и кибербезопасность. Вводный блок предполагается оснастить достаточным количеством предметов по выбору, чтобы поступающие выпускники бакалавриата из областей прикладной математики, информационных технологий и электроники/телекоммуникаций могли приобрести необходимые знания для освоения потоковых курсов. Мы утверждаем, что еще одним необходимым отличием программы IoT должен явиться междисциплинарный групповой дипломный проект значительного объема, также основанный на потоковых курсах. This paper discusses the fundamentals of postgraduate curriculum development for the area of the Internet of Things (IoT). We provide a brief contrasting analysis of Skoltech and Stanford Masters programs and argue that the most flexible way forward is via the introduction of a leveling-off, elective introductory stage, and four parallel course streams: signal processing and control; Artificial Intelligence (AI), and machine learning; microcontroller systems design; and networks and cyber security. The leveling-off stage is meant to provide sufficient electives for graduates of applied math, Information Technologies (IT), or electronics/telecom degrees to learn the necessary fundamentals for the stream modules. We argue that another distinguishing feature of an IoT masters program is a large project drawing on the stream modules and requiring a multidisciplinary, team development effort.

scholarly journals The Next Generation Internet of Things Architecture Towards Distributed Intelligence: Reviews, Applications, and Research Challenges

2020 ◽  
Author(s):  
Baha Rababah ◽  
Tanweer Alam ◽  
Rasit Eskicioglu
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Raw Data ◽  
Next Generation Internet ◽  
Distributed Intelligence ◽  
Research Challenges ◽  
Network Load ◽  
And Control ◽  
Edge Layer ◽  
The Internet Of Things

Increasing the implication of growing data generated by the Internet of Things (IoT) brings the focus toward extracting knowledge from sensors’ raw data. In the current cloud computing architecture, all the IoT raw data is transmitted to the cloud for processing, storage, and control things. Nevertheless, the scenario of sending all raw data to the cloud is inefficient as it wastes the bandwidth and increases the network load. This problem can be solved by Providing IoT Gateway at the edge layer with the required intelligence to gain the Knowledge from raw data to decide to actuate or offload complicated tasks to the cloud. This collaboration between cloud and edge called distributed intelligence. This work highlights the distributed intelligence concept in IoT. It presents a deep investigation of distributed intelligence between cloud and edge layers under IoT architecture, with an emphasis on its vision, applications, and research challenges. This work aims to bring the attention of IoT specialists to distributed intelligence and its role to deduce current IoT challenges such as availability, mobility, energy efficiency, security, scalability, interoperability, and reliability.

scholarly journals REDES DIGITAL SIGNAGE COMO SUSTRATO PARA BRINDAR CONECTIVIDAD A DISPOSITIVOS IOT

2016 ◽  
Vol 26 (1) ◽  
pp. 89
Author(s):  
J. David De Hoz
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Network Mobility ◽  
Digital Signage ◽  
Audiovisual Media ◽  
La Red ◽  
And Control ◽  
Medios De Comunicacion ◽  
The Internet Of Things ◽  
Successful Integration

RESUMEN El número de dispositivos conectados a Internet supera actualmente a la población mundial por más de tres veces y se espera que esta cifra se duplique en los próximos cinco años. El Internet de las Cosas es un concepto que describe esta tendencia y perfila ciertos aspectos de diseño y funcionalidad que los nuevos dispositivos deben incorporar para lograr una integración exitosa en Internet. En este sentido, las redes digital signage utilizadas tradicionalmente para los medios de comunicación audiovisual cumplen muchas de las características requeridas en el contexto del Internet de las Cosas: interoperabilidad, movilidad, escalabilidad y ubicuidad; relativas tanto al acceso y control de dispositivos como a la información que estos generan. En este trabajo se plantea el poder de emplear la red digital signage propuesta como sustrato para poder conectar otros tipos de dispositivos para que así puedan aprovechar las ventajas de estas redes. Para ese fin, se discuten los principales problemas existentes en esta integración, prestando especial atención al esquema de túnel bidireccional utilizado en la solución digital signage propuesta. Los efectos de este enfoque de tunelación se analizan en escenarios con limitaciones de ancho de banda y se proponen diferentes soluciones. Con ello se consigue mejorar el rendimiento del túnel en movilidad, facilitando la integración de más dispositivos al Internet de las Cosas al permitir que puedan integrarse en este tipo de redes.Palabras clave.- Digital signage, Internet de las Cosas, Port forwarding, Redes móviles, OpenSSH tunneling. ABSTRACT The number of Internet-connected devices exceeds the world’s population by more than three times and this figure is expected to be doubled within the next five years. The Internet of Things is a concept that describes this trend and outlines certain aspects of design and functionality that new devices should incorporate for a successful integration into the Internet. In this respect, Digital Signage networks traditionally used for audiovisual media, accomplish many of the characteristics of the Internet of Things devices: interoperability, mobility, scalability and ubiquity, both in terms of access and control of devices and regarding the information they generate. This paper raises the power to employ a proposed Digital Signage network as a substrate to connect other types of devices that can benefit from the advantages of this kind of networks. For that aim, the main problems for this integration are discussed, mainly those related to the bidirectional tunneling scheme used in the proposed Digital Signage solution. The effects of this tunneling approach are analyzed in scenarios with bandwidth constraints, and different solutions are proposed. Tunneling performance in mobility is improved, to increase the amount of Internet of Things devices and applications that can benefit from this type of network.Key words.- Digital signage, Internet of things, Port forwarding, Network mobility, OpenSSH tunneling.

scholarly journals Internet of robotic things: Design and develop the quality of service framework for the healthcare sector using CoAP

2021 ◽  
Vol 10 (4) ◽  
pp. 289
Author(s):  
Arun Kumar ◽  
Sharad Sharma
Keyword(s):  
Internet Of Things ◽  
Electronic Device ◽  
Healthcare Sector ◽  
The Internet ◽  
Added Benefit ◽  
Multicast Communications ◽  
New Research ◽  
And Control ◽  
The Internet Of Things ◽  
And Robotics

<p>The number of robotics used globally is gradually growing, according to a variety of research. They are becoming more and more popular in different workplaces, like manufacturing, distribution, medical conditions, military, inaccessible areas, etc. The internet of things (IoT) and robotics groups have until now been guided by a set of, but somewhat compatible, goals, which are mainly to help knowledge systems in the field of general sensing, tracking, and monitoring. Therefore, the development of an internet of robotic things (IoRT), which incorporates the outcome from both cultures, is progressively said to have a significant added benefit. Internet of robotic things, the intersection of the Internet of Things and robotics, is where self-sufficient machines will assemble information from various sensors and speak with one another to perform errands including basic reasoning. As the name suggests, IoRT is the combination of two front-line innovations, the internet of things and robotics. People can manage any electronic device in homes with IoT and can also be used in contactless applications in healthcare. The constrained application protocol (CoAP), for the management and control of a community of homogeneous sensor modules, has recently endorsed multicast communications in IoRT. It will boost connectivity performance, less power consumption due to data aggregation, and enhanced security features with DTLS security features for various applications for the internet of things. This paper presents an implementation of the CoAP framework on IoRT sky motes using the Contiki Cooja Simulator that will be a useful healthcare sector that will confirm their potential and therefore, new research directions are outlined</p>

The Internet of Things

2020 ◽  
Author(s):  
Scott J. Shackelford
Keyword(s):  
Internet Of Things ◽  
Smart Devices ◽  
Stock Exchanges ◽  
The Internet ◽  
Internet Of Everything ◽  
The Social ◽  
Challenges And Opportunities ◽  
Perverse Incentives ◽  
And Control ◽  
The Internet Of Things

The Internet of Things (IoT) is the notion that nearly everything we use, from gym shorts to streetlights, will soon be connected to the Internet; the Internet of Everything (IoE) encompasses not just objects, but the social connections, data, and processes that the IoT makes possible. Industry and financial analysts have predicted that the number of Internet-enabled devices will increase from 11 billion to upwards of 75 billion by 2020. Regardless of the number, the end result looks to be a mind-boggling explosion in Internet connected stuff. Yet, there has been relatively little attention paid to how we should go about regulating smart devices, and still less about how cybersecurity should be enhanced. Similarly, now that everything from refrigerators to stock exchanges can be connected to a ubiquitous Internet, how can we better safeguard privacy across networks and borders? Will security scale along with this increasingly crowded field? Or, will a combination of perverse incentives, increasing complexity, and new problems derail progress and exacerbate cyber insecurity? For all the press that such questions have received, the Internet of Everything remains a topic little understood or appreciated by the public. This volume demystifies our increasingly “smart” world, and unpacks many of the outstanding security, privacy, ethical, and policy challenges and opportunities represented by the IoE. Scott J. Shackelford provides real-world examples and straightforward discussion about how the IoE is impacting our lives, companies, and nations, and explain how it is increasingly shaping the international community in the twenty-first century. Are there any downsides of your phone being able to unlock your front door, start your car, and control your thermostat? Is your smart speaker always listening? How are other countries dealing with these issues? This book answers these questions, and more, along with offering practical guidance for how you can join the effort to help build an Internet of Everything that is as secure, private, efficient, and fun as possible.

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