scholarly journals Sensors with Digital Output – A Metrological Challenge

2019 ◽  
Author(s):  
Michael Mende ◽  
Philipp Begoff
Keyword(s):  
Signal Processing ◽  
Internet Of Things ◽  
Measurement Uncertainty ◽  
Black Box ◽  
The Internet ◽  
Process Data ◽  
Digital Output ◽  
Calibration Standards ◽  
New Applications ◽  
The Internet Of Things

The Internet of Things (IoT) as well as many other new applications require sensors that can already process data inside the sensor and exchange the pre-processed data more or less directly with their environment. Such sensors typically have a digital output and thus challenge current calibration systems which usually have analogue input channels. Furthermore most calibration standards were written for an analogue world and do not fit to sensors with internal A/D converters and data pre-processing. Based on experiences of the authors with the calibration of accelerometers with digital output, the paper will give an overview over the challenges that we will face in a digital sensor world. How will calibration systems for such transducers will look like? How do I calculate a measurement uncertainty if the signal processing inside a sensor is a black box? The paper addresses the challenges and tries to give an outlook how to meet them.

scholarly journals A systematic Study of Security Challenges and Infrastructures for Internet of Things

2018 ◽  
Vol 7 (4.36) ◽  
pp. 700
Author(s):  
N. Koteswara Rao ◽  
Gandharba Swain
Keyword(s):  
Internet Of Things ◽  
Secure Communication ◽  
Smart Cities ◽  
Security Requirements ◽  
The Internet ◽  
Security Challenges ◽  
Authentication And Authorization ◽  
New Applications ◽  
Privacy And Anonymity ◽  
The Internet Of Things

The proliferation of smart objects with capability of sensing, processing and communication has grown in recent years. In this scenario, the Internet of Things (IoT) connects these objects to the Internet and provides communication with users and devices. IoT enables a huge amount of new applications, with which academics and industries can benefit, such as smart cities, health care and automation. In this environment, compose of constrained devices, the widespread adoption of this paradigm depends of security requirements like secure communication between devices, privacy and anonymity of its users. This paper presents the main security challenges and solutions to provide authentication and authorization on the Internet of Things. 

A RFID Controller with Contactless Cards for Internet of Things

2013 ◽  
Vol 336-338 ◽  
pp. 2521-2524 ◽  
Author(s):  
Li Min Liu
Keyword(s):  
Internet Of Things ◽  
Retail Industry ◽  
The Internet ◽  
Process Data ◽  
Issue Management ◽  
Rfid System ◽  
Embedded Applications ◽  
The Internet Of Things ◽  
Rfid Applications

RFID system is a foundational component for the internet of things. Its applications are more and more popular, such as travel, retail, industry, defense, agriculture, storage and other fields. Controller or reader is an essential part for RFID applications. It can identify tags, process data and issue management instructions. Microcontrollers are common hardware for embedded applications. With microcontrollers, the RFID controller will be smart and easy to be used. In this paper, RFID, internet of things, contactless cards, readers, microcontrollers and design of a RFID controller with microcontrollers are discussed.

scholarly journals CICS Cloud–Internet Communication Security Framework for the Internet of Smart Devices

2020 ◽  
Author(s):  
Tanweer Alam ◽  
Mohamed Benaida
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Smart Devices ◽  
Communication Security ◽  
The Internet ◽  
Internet Communication ◽  
Process Data ◽  
Security Problem ◽  
Critical Issues ◽  
The Internet Of Things

The internet of smart devices is a network of intelligent gadgets with sensors, programs, Wi-Fi and communication network connections. These devices store the data in cloud and process data outside the device using the proposed Cloud-Internet communication framework. These devices can communicate with other devices using the proposed framework. However, there are many challenges for communication security among the internet of smart devices. The Cloud can store the device data with security, reliability, privacy and service availability. The communication Security has been raised as one of the most critical issues of cloud computing where resolving such an issue would result in a constant growth in the use and popularity of cloud computing. Our purpose of this study is to create a framework for providing the communication security among smart devices network for the internet of things using cloud computing. Our main contribution links a new study for providing communication security for the internet of smart devices using the cloud-Internet framework. This study can be helpful for communication security problem in the framework of the Internet of Things. The proposed study generates a new framework for solving the issue of communication security among internet of smart devices.

scholarly journals Data Sensing and Processing Tensioning System Based on the Internet of Things

2019 ◽  
Vol 9 (2) ◽  
pp. 310
Author(s):  
Xiaowen Chen ◽  
Guanci Yang
Keyword(s):  
Internet Of Things ◽  
Prestressed Concrete ◽  
Concrete Beams ◽  
Transport Layer ◽  
Work Flow ◽  
Quality Monitoring ◽  
The Internet ◽  
Process Data ◽  
Application Service ◽  
The Internet Of Things

Tensioning is an important process for producing prestressed concrete beams and directly affects bridge performance and driving safety. Active sensing and management of tensioning process data can improve the efficiency of quality monitoring and level of prestressed concrete beams. To realize remote collection and quality monitoring of tensioning process data, a framework for data sensing and processing of tensioning system based on the Internet of Things (IoT) is proposed in this study. Firstly, we investigate the technical framework and techniques of the system and designs a work flow of sensing, transport, and application service layers. The architecture of the tensioning system is presented. Then we propose a data acquisition and preprocessing method for the sensing layer, put forwards the data-pushing mechanism of the transport layer, and designs the function and work flow of the application service layer. After that, .NET platform and Android Studio are used to implement the tensioning system based on Browser/Server (B/S) architecture and mobile terminals. Finally, the case results of the system in seven precast beam fields in the Hubei section of Zhengzhou–Wanzhou high-speed Railway are given, which show that the developed system realizes collection, active pushing, and remote monitoring of tensioning process data.

scholarly journals Raspberry Pi-Based Farming Automation and Monitoring System using Automatic Weather System (AWS) (Case Study: Chili Plants)

2018 ◽  
Vol 7 (4.44) ◽  
pp. 172
Author(s):  
Erfan Rohadi ◽  
Raka Admiral Abdurrahman ◽  
Ekojono . ◽  
Rosa Andrie Asmara ◽  
Indrazno Siradjuddin ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Monitoring System ◽  
Raspberry Pi ◽  
The Internet ◽  
Automation System ◽  
Process Data ◽  
Weather System ◽  
Internet Connectivity ◽  
The Internet Of Things

Recently, The Internet of Things (IoT) has been implemented and become an interesting topic for discussion. IoT is a method that aims to maximize the benefits of Internet connectivity to transfer and process data or information through an internet network wirelessly, virtual and autonomous. One of the IoT's utilization is automation system. The automation system generally uses a timer for the plant watering process. The use of timers aims to water the plants routinely without human assistance. The development of this automation system begins with the making of the prototype of chili land in the field 5 x 2.5 meters, then compile the required components and how it works. Further programming of sensors to Raspberry Pi as a controller in the system based on the conditions that have been set and changes in temperature received by the sensor. As a result, the system has been successfully done automatic watering, both on a regular basis (at 06.00 and 18.00) and cooling watering. Cooling is done if the temperature exceeds more than 30 degrees Celsius. The automation system promises to be applied to the utilization of land around the house.  

scholarly journals Toward Smart Traceability for Digital Sensors and the Industrial Internet of Things

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2019
Author(s):  
Sascha Eichstädt ◽  
Maximilian Gruber ◽  
Anupam Prasad Vedurmudi ◽  
Benedikt Seeger ◽  
Thomas Bruns ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Data Quality ◽  
Processing System ◽  
Smart Sensors ◽  
The Internet ◽  
Measurement Instruments ◽  
Industrial Internet Of Things ◽  
Digital Output ◽  
Industrial Internet ◽  
The Internet Of Things

The Internet of Things (IoT) is characterized by a large number of interconnected devices or assets. Measurement instruments in the IoT are typically digital in the sense that their indications are available only as digital output. Moreover, a growing number of IoT sensors contain a built-in pre-processing system, e.g., for compensating unwanted effects. This paper considers the application of metrological principles to such so-called “smart sensors” in the IoT. It addresses the calibration of digital sensors, mathematical and semantic approaches, the communication of data quality and the meaning of traceability for the IoT in general.

scholarly journals A New Task Offloading Algorithm in Edge Computing

2021 ◽  
Author(s):  
Zhenjiang Zhang ◽  
Chen Li ◽  
ShengLung Peng ◽  
Xintong Pei
Keyword(s):  
Internet Of Things ◽  
User Experience ◽  
Mobile Internet ◽  
Edge Computing ◽  
The Internet ◽  
Disruptive Technology ◽  
Computing Power ◽  
New Applications ◽  
The Internet Of Things ◽  
Task Offloading

Abstract In the last few years, the Internet of Things (IOT), as a new disruptive technology, has gradually changed the world. With the prosperous development of the mobile Internet and the rapid growth of the Internet of Things, various new applications continue to emerge, such as mobile payment, face recognition, wearable devices, driverless, VR/AR, etc. Although the computing power of mobile terminals is getting higher and the traditional cloud computing model has higher computing power, it is often accompanied by higher latency and cannot meet the needs of users. In order to reduce user delay to improve user experience, and at the same time reduce network load to a certain extent, edge computing, as an application of IOT, came into being. In view of the new architecture after dating edge computing, this paper focuses on the task offloading in edge computing, from task migration in multi-user scenarios and edge server resource management expansion, and proposes a multi-agent load balancing distribution based on deep reinforcement learning DTOMALB, a distributed task allocation algorithm, can perform a reasonable offload method for this scenario to improve user experience and balance resource utilization. Simulations show that the algorithm has a certain adaptability compared to the traditional algorithm in the scenario of multi-user single cell, and reduces the complexity of the algorithm compared to the centralized algorithm, and reduces the average response delay of the overall user. And balance the load of each edge computing server, improve the robustness and scalability of the system.

Cloud- and IoT-Powered Smart Connected Cities

2019 ◽  
pp. 71-102
Author(s):  
Pankaj Kumar ◽  
Lokesh Chouhan ◽  
Ankit Songara
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Cell Phones ◽  
The Internet ◽  
Research Issues ◽  
New Applications ◽  
Smart Communities ◽  
The Internet Of Things

The internet of things (IoT) is rising at a stunning rate. Consistently, every day, the presence of new gadgets, cameras, cell phones, and sensors these are associated with the internet. It is envisioned IoT will find, coordinate, and make utilization of such gadgets and their information in the advance of new service and items that can change and emphatically blow our lives. Presently, IoT and cloud computing are the hottest area used by the researchers. In any case, to the best of the authors' insight, these works do not have a point-by-point investigation of the new Cloud-IoT worldview, which includes totally new applications, challenges, and research issues. To connect this hole, this chapter gives a review on the reconciliation of Cloud and IoT. Beginning by describing basics of both IoT and cloud computing, the authors examine their complementarity, itemizing what is at present heading to their integration. At the end this chapter, the authors describe the smart roadside assistance for smart communities.

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