IoT Architecture

2017 ◽  
pp. 1-18
Author(s):  
H. Parveen Sultana
Keyword(s):  
Wireless Networks ◽  
Internet Of Things ◽  
Smart Environment ◽  
Machine To Machine ◽  
Architectural Model ◽  
Iot Devices

Internet of Things (IoT) is an emerging area for the researchers. IoT with the combination of thing, gateway, and Internet perform any operation in a smart way. This chapter discusses the importance of Internet of Things in various application areas. It has been elucidated that how IoT can be used effectively in the smart wireless networks. Most of the devices used in the IoT system are of sensor and actuator devices. The architectural model and communication layout of IoT is explicated through appropriate diagrams. A 16 bit and 32 bit microcontroller based processors are used in the IoT devices to send and receive instructions from the machine to machine, people to people and people to machine. As and when changes or any variations occur in the smart environment suitable instructions are forwarded through gateway to execute corrective task.

IoT Architecture

2020 ◽  
pp. 226-238
Author(s):  
H. Parveen Sultana
Keyword(s):  
Wireless Networks ◽  
Internet Of Things ◽  
Smart Environment ◽  
Machine To Machine ◽  
Architectural Model ◽  
Iot Devices

Internet of Things (IoT) is an emerging area for the researchers. IoT with the combination of thing, gateway, and Internet perform any operation in a smart way. This chapter discusses the importance of Internet of Things in various application areas. It has been elucidated that how IoT can be used effectively in the smart wireless networks. Most of the devices used in the IoT system are of sensor and actuator devices. The architectural model and communication layout of IoT is explicated through appropriate diagrams. A 16 bit and 32 bit microcontroller based processors are used in the IoT devices to send and receive instructions from the machine to machine, people to people and people to machine. As and when changes or any variations occur in the smart environment suitable instructions are forwarded through gateway to execute corrective task.

Applications of IOT in Smart Cities and Smart Environment

2019 ◽  
pp. 7-17 ◽  
Author(s):  
Keerthivasan G ◽  
Aishwarya G ◽  
Jawahar G ◽  
Muthukumar C
Keyword(s):  
Internet Of Things ◽  
Smart Cities ◽  
Smart Homes ◽  
The Internet ◽  
Large Network ◽  
Smart Environment ◽  
Transfer Data ◽  
Ecological Resources ◽  
The World ◽  
Iot Devices

Internet of things is one of the emerging technologies in the world. Through which we can generate a large network among the tiny devices to communicate with each other to develop environmental and ecological resources. Most of the smart technology devices are designed by IoT network of devices. By connecting these devices that help to interact with each other and to collect and transfer data over the internet. The IoT devices working speed and their performance have improved by introducing a device called a sensor. The idea of IoT devices with sensors that sense the data and make smart decisions in the environment. This paper makes it clear about the benefits of IoT devices over technology in the modern environment. The sensors in IoT devices are connected to Wi-Fi, Bluetooth and RFID etc. to collect useful data. By connecting devices over the network, the world will become smart and thus it evolves the smart environment including smart homes, smart buildings and smart cities. It is believed that about 30 billion people in the world will use at least one IoT technology devices by the year 2020. To maintain our environment safe and secure the IoT devices play a major role in several enabling technologies. This paper is to present the applications of IoT in smart cities and the environment and a brief explanation about their uses.

scholarly journals Efficient Data Communication Using Distributed Ledger Technology and IOTA-Enabled Internet of Things for a Future Machine-to-Machine Economy

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4354
Author(s):  
Mohd Majid Akhtar ◽  
Danish Raza Rizvi ◽  
Mohd Abdul Ahad ◽  
Salil S. Kanhere ◽  
Mohammad Amjad ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Data Communication ◽  
Sensor Data ◽  
The Internet ◽  
Machine To Machine ◽  
Distributed Ledger ◽  
Distributed Ledger Technology ◽  
Iot Devices ◽  
Over The Top ◽  
The Internet Of Things

A potential rise in interest in the Internet of Things in the upcoming years is expected in the fields of healthcare, supply chain, logistics, industries, smart cities, smart homes, cyber physical systems, etc. This paper discloses the fusion of the Internet of Things (IoT) with the so-called “distributed ledger technology” (DLT). IoT sensors like temperature sensors, motion sensors, GPS or connected devices convey the activity of the environment. Sensor information acquired by such IoT devices are then stored in a blockchain. Data on a blockchain remains immutable however its scalability still remains a challenging issue and thus represents a hindrance for its mass adoption in the IoT. Here a communication system based on IOTA and DLT is discussed with a systematic architecture for IoT devices and a future machine-to-machine (M2M) economy. The data communication between IoT devices is analyzed using multiple use cases such as sending DHT-11 sensor data to the IOTA tangle. The value communication is analyzed using a novel “micro-payment enabled over the top” (MP-OTT) streaming platform that is based on the “pay-as-you-go” and “consumption based” models to showcase IOTA value transactions. In this paper, we propose an enhancement to the classical “masked authenticated message” (MAM) communication protocol and two architectures called dual signature masked authenticated message (DSMAM) and index-based address value transaction (IBAVT). Further, we provided an empirical analysis and discussion of the proposed techniques. The implemented solution provides better address management with secured sharing and communication of IoT data, complete access control over the ownership of data and high scalability in terms of number of transactions that can be handled.

scholarly journals Improving Security for Internet of Things Devices using Software Defined Networking

2019 ◽  
Vol 9 (2) ◽  
pp. 2881-2884
Keyword(s):  
Wireless Networks ◽  
Internet Of Things ◽  
Ieee 802.15.4 ◽  
Software Defined Networking ◽  
The Internet ◽  
Traffic Networks ◽  
Iot Devices ◽  
Abnormal Behaviors ◽  
The Internet Of Things

This theory has recently been expanded to IEEE 802.15.4 wireless networks, which constitute a key element of the Internet of Things (IoT). Nonetheless, the various patterns of traffic needed for SDN management make it difficult to adapt this method to these extremely demanding situations. Software-Defined Networking (SDN) key contribution of this work is the solution to network with IoT devices that enables network because of better functionalities in case of providing interfacesfor the layers. SDN enables significant advantages of applications to be created on the basis of interaction with traffic networks, trustable authentication, or service eminence. This report suggests the use of a SDN gateway as a decentralized platform to track traffic from IoT gadgets. The configured SDN gateway capable of detection the possible abnormal behaviors and provide it particularly valuable applicability for (obstructive, transmission or application of providing best services to the system).

IDENTIFICATION OF DEVICES AND SYSTEMS OF NARRОWBAND WIRELESS NETWORKS OF THE INTERNET OF THINGS. PART I

2020 ◽  
Author(s):  
А.С. Бородин ◽  
Р.В. Киричек ◽  
Д.Д. Сазонов ◽  
М.А. Рожков ◽  
А.В. Колесников ◽  
...  
Keyword(s):  
Wireless Networks ◽  
Internet Of Things ◽  
The Internet ◽  
Identification System ◽  
Digital Object ◽  
Iot Devices ◽  
The Internet Of Things

Представлено описание системы идентификации на базе архитектуры цифровых объектов (Digital Object Architecture DOA), которая в настоящее время рассматривается в качестве приоритетной для идентификации устройств и приложений интернета вещей. Приведен анализ альтернативных идентификаторов и показаны преимущества DOA как для задач идентификации, так и для борьбы с контрафактом. В первой части статьи рассмотрены основные положения, связанные с идентификацией устройств интернета вещей, проведен анализ существующих подходов и решений по идентификации. Дано описание базовых компонентов архитектуры цифровых объектов DOA и дана оценка возможности ее применения для построения систем идентификации. A description of an identification system for IoT devices based on the Digital Object Architecture (DOA) is given. The analysis of alternative identifiers is carried out. The advantages of DOA for both identification and counterfeiting tasks have been shown. The first part of the article discusses the main provisions related to the identification of IoT devices.

Bringing Security to The Smallest Embedded Systems

2017 ◽  
Author(s):  
JOSEPH YIU
Keyword(s):  
Internet Of Things ◽  
Embedded Systems ◽  
Low Cost ◽  
Security Requirements ◽  
The Internet ◽  
Security Measures ◽  
Significant Challenge ◽  
Iot Devices

The increasing need for security in microcontrollers Security has long been a significant challenge in microcontroller applications(MCUs). Traditionally, many microcontroller systems did not have strong security measures against remote attacks as most of them are not connected to the Internet, and many microcontrollers are deemed to be cheap and simple. With the growth of IoT (Internet of Things), security in low cost microcontrollers moved toward the spotlight and the security requirements of these IoT devices are now just as critical as high-end systems due to:

Agricultural Application of Web of Things Architecture

Impact ◽  
2019 ◽  
Vol 2019 (10) ◽  
pp. 61-63 ◽  
Author(s):  
Akihiro Fujii
Keyword(s):  
Internet Of Things ◽  
Agricultural Sector ◽  
Electronic Device ◽  
Specific Work ◽  
Science And Engineering ◽  
Unique Identifier ◽  
Agricultural Application ◽  
Iot Devices ◽  
The Internet Of Things ◽  
Type Pressure

The Internet of Things (IoT) is a term that describes a system of computing devices, digital machines, objects, animals or people that are interrelated. Each of the interrelated 'things' are given a unique identifier and the ability to transfer data over a network that does not require human-to-human or human-to-computer interaction. Examples of IoT in practice include a human with a heart monitor implant, an animal with a biochip transponder (an electronic device inserted under the skin that gives the animal a unique identification number) and a car that has built-in sensors which can alert the driver about any problems, such as when the type pressure is low. The concept of a network of devices was established as early as 1982, although the term 'Internet of Things' was almost certainly first coined by Kevin Ashton in 1999. Since then, IoT devices have become ubiquitous, certainly in some parts of the world. Although there have been significant developments in the technology associated with IoT, the concept is far from being fully realised. Indeed, the potential for the reach of IoT extends to areas which some would find surprising. Researchers at the Faculty of Science and Engineering, Hosei University in Japan, are exploring using IoT in the agricultural sector, with some specific work on the production of melons. For the advancement of IoT in agriculture, difficult and important issues are implementation of subtle activities into computers procedure. The researchers challenges are going on.

scholarly journals Internet of things issues related to psychiatry

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Scott Monteith ◽  
Tasha Glenn ◽  
John Geddes ◽  
Emanuel Severus ◽  
Peter C. Whybrow ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Cognitive Abilities ◽  
Healthcare Providers ◽  
Emotional Reactions ◽  
The Body ◽  
Psychiatric Research ◽  
Main Body ◽  
Personal Safety ◽  
Healthcare Organizations ◽  
Iot Devices

Abstract Background Internet of Things (IoT) devices for remote monitoring, diagnosis, and treatment are widely viewed as an important future direction for medicine, including for bipolar disorder and other mental illness. The number of smart, connected devices is expanding rapidly. IoT devices are being introduced in all aspects of everyday life, including devices in the home and wearables on the body. IoT devices are increasingly used in psychiatric research, and in the future may help to detect emotional reactions, mood states, stress, and cognitive abilities. This narrative review discusses some of the important fundamental issues related to the rapid growth of IoT devices. Main body Articles were searched between December 2019 and February 2020. Topics discussed include background on the growth of IoT, the security, safety and privacy issues related to IoT devices, and the new roles in the IoT economy for manufacturers, patients, and healthcare organizations. Conclusions The use of IoT devices will increase throughout psychiatry. The scale, complexity and passive nature of data collection with IoT devices presents unique challenges related to security, privacy and personal safety. While the IoT offers many potential benefits, there are risks associated with IoT devices, and from the connectivity between patients, healthcare providers, and device makers. Security, privacy and personal safety issues related to IoT devices are changing the roles of manufacturers, patients, physicians and healthcare IT organizations. Effective and safe use of IoT devices in psychiatry requires an understanding of these changes.

scholarly journals An efficient pruning scheme of deep neural networks for Internet of Things applications

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Chen Qi ◽  
Shibo Shen ◽  
Rongpeng Li ◽  
Zhifeng Zhao ◽  
Qing Liu ◽  
...  
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Internet Of Things ◽  
Deep Neural Networks ◽  
Computational Cost ◽  
Superior Performance ◽  
Compact Structure ◽  
Resource Limited ◽  
Benchmark Datasets ◽  
Iot Devices

AbstractNowadays, deep neural networks (DNNs) have been rapidly deployed to realize a number of functionalities like sensing, imaging, classification, recognition, etc. However, the computational-intensive requirement of DNNs makes it difficult to be applicable for resource-limited Internet of Things (IoT) devices. In this paper, we propose a novel pruning-based paradigm that aims to reduce the computational cost of DNNs, by uncovering a more compact structure and learning the effective weights therein, on the basis of not compromising the expressive capability of DNNs. In particular, our algorithm can achieve efficient end-to-end training that transfers a redundant neural network to a compact one with a specifically targeted compression rate directly. We comprehensively evaluate our approach on various representative benchmark datasets and compared with typical advanced convolutional neural network (CNN) architectures. The experimental results verify the superior performance and robust effectiveness of our scheme. For example, when pruning VGG on CIFAR-10, our proposed scheme is able to significantly reduce its FLOPs (floating-point operations) and number of parameters with a proportion of 76.2% and 94.1%, respectively, while still maintaining a satisfactory accuracy. To sum up, our scheme could facilitate the integration of DNNs into the common machine-learning-based IoT framework and establish distributed training of neural networks in both cloud and edge.

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