scholarly journals Generic framework for industrial 4.0 applications based on internet of things

2020 ◽  
Vol 3 (SI1) ◽  
pp. First
Author(s):  
Nhan Trong Le ◽  
Nguyen Tran Huu Nguyen ◽  
Pham Le Song Ngan
Keyword(s):  
Operating System ◽  
Internet Of Things ◽  
Low Cost ◽  
Complete Solution ◽  
Sensor Nodes ◽  
Smart Devices ◽  
Sensory Data ◽  
Generic Framework ◽  
Serial Connection ◽  
Smart Agriculture

The Internet of Things (IoTs) is a network of interconnected devices, transportations, home appliances, and other devices. They are functionally embedded in electronics, software, sensors, actuators, and connectivity that allows them to connect and exchange information. On the basis of the IoT concept, implementations are gradually being proposed in a range of areas, ranging from smart house, smart office and smart agriculture. In this research paper, a generic framework for smart monitoring applications based on the IoTs network is proposed. In this framework, low-powered sensor nodes are based on the micro:bit platform, providing a multiple footprints for different sensor connections. The wireless capability on micro:bit provides a complete solution to deploy the system in such places that wire is impractical to draw. The data is wirelessly gathered by a basestation node that is powered by Android Things operating system provided by Google. This operating system is based on the Android platform for smart devices and Internet of Things products. The approach to this framework indicates a low cost and minimum setup and especially amenable for applications control. To support many applications with minimum modifications, the framework is designed for easy expansion by supporting popular serial connection ports, including the Universal Asynchronous Receiver/Transmitter and Serial Peripheral Interface. With these connections, on one line data bus, several sensors can be added to match the different application requirements. In this paper, our platform is validated for an automatic water monitoring in aquaculture based on the temperature, pH and dissolved oxygen sensory data. Through our framework, the data is uploaded to a cloud for remote monitoring and providing alarms for users whenever the data is out of a predefined safe domain.

Application of WeChat Mini-Program and Wi-Fi SoC in Agricultural IoT: A Low-Cost Greenhouse Monitoring System

2020 ◽  
Vol 63 (2) ◽  
pp. 325-337
Author(s):  
Lei Zhou ◽  
Zhengjun Qiu ◽  
Yong He
Keyword(s):  
Internet Of Things ◽  
Monitoring System ◽  
High Performance ◽  
Low Cost ◽  
Rapid Development ◽  
Sensor Nodes ◽  
Sensor Data ◽  
Smart Devices ◽  
Increasing Demand ◽  
On Chip

HighlightsA quick solution for developing and deploying custom agricultural IoT systems is proposed.Low-cost and high-performance devices are used for the design of sensor nodes.A mobile application based on WeChat Mini-Program is developed for device and data management.The proposed system brings convenience to both users and developers.Abstract. Increasing demand for automatic management of agricultural production and real-time remote monitoring has increased the need for smart devices, wireless technologies, and sensors. The internet of things (IoT) has emerged as a common technology for the management of multiple devices by multiple users. Some professional solutions are relatively difficult to implement for researchers who are interested in agricultural IoT but do not have requisite skills in computers and electronics. The unfriendliness of the user software limits the practical application of agricultural IoT in China. This article presents a simple solution based on an SoC (system-on-chip) and WeChat mini-program that focuses on low-cost hardware, rapid development, user-friendly application design, and helping developers get a quick start in building a DIY monitoring system. The ESP8266, a high-performance SoC, is used as the microcontroller and Wi-Fi module to transfer the sensor data to a remote server. A WeChat mini-program provides the graphical user interface, enabling users to manage devices and access data by clicking. Users can log into the system using their WeChat accounts and bind devices by scanning QR codes on the devices. Thus, the complex management and device binding in conventional systems can be overcome. The system is easy to be expand and has great potential for greenhouse environmental monitoring in China. Keywords: Greenhouse ambient monitoring, Internet of things, WeChat mini-program, Wi-Fi SoC.

scholarly journals Elastic Computing in the Fog on Internet of Things to Improve the Performance of Low Cost Nodes

Electronics ◽  
2019 ◽  
Vol 8 (12) ◽  
pp. 1489 ◽  
Author(s):  
Rafael Fayos-Jordan ◽  
Santiago Felici-Castell ◽  
Jaume Segura-Garcia ◽  
Adolfo Pastor-Aparicio ◽  
Jesus Lopez-Ballester
Keyword(s):  
Operating System ◽  
Internet Of Things ◽  
Low Cost ◽  
Fog Computing ◽  
Mesh Network ◽  
Raspberry Pi ◽  
The Internet ◽  
Processing Unit ◽  
Computing Paradigm ◽  
Elastic Computing

The Internet of Things (IoT) is a network widely used with the purpose of connecting almost everything, everywhere to the Internet. To cope with this goal, low cost nodes are being used; otherwise, it would be very expensive to expand so fast. These networks are set up with small distributed devices (nodes) that have a power supply, processing unit, memory, sensors, and wireless communications. In the market, we can find different alternatives for these devices, such as small board computers (SBCs), e.g., Raspberry Pi (RPi)), with different features. Usually these devices run a coarse version of a Linux operating system. Nevertheless, there are many scenarios that require enhanced computational power that these nodes alone are unable to provide. In this context, we need to introduce a kind of collaboration among the devices to overcome their constraints. We based our solution in a combination of clustering techniques (building a mesh network using their wireless capabilities); at the same time we try to orchestrate the resources in order to improve their processing capabilities in an elastic computing fashion. This paradigm is called fog computing on IoT. We propose in this paper the use of cloud computing technologies, such as Linux containers, based on Docker, and a container orchestration platform (COP) to run on the top of a cluster of these nodes, but adapted to the fog computing paradigm. Notice that these technologies are open source and developed for Linux operating system. As an example, in our results we show an IoT application for soundscape monitoring as a proof of concept that it will allow us to compare different alternatives in its design and implementation; in particular, with regard to the COP selection, between Docker Swarm and Kubernetes. We conclude that using and combining these techniques, we can improve the overall computation capabilities of these IoT nodes within a fog computing paradigm.

A Reusable Device Driver Framework for the Sensor Nodes in Internet of Things

2012 ◽  
Vol 468-471 ◽  
pp. 60-63
Author(s):  
Xiao Fan Wu ◽  
Jia Jun Bu ◽  
Chun Chen
Keyword(s):  
Operating System ◽  
Internet Of Things ◽  
Embedded System ◽  
Sensor Node ◽  
Rapid Development ◽  
Source Code ◽  
Device Driver ◽  
Sensor Nodes ◽  
C Programming Language ◽  
C Programming

Due to the rapid development of Internet of Things (IoT), kinds of sensor nodes have been introduced to the different applications. Because of the variety of MCUs, sensors and radio modules, it’s challenging to reuse the device drivers between different sensor node platforms. To address this issue, a reusable device driver framework is proposed in this paper. Comparing with existed work, our framework is flexible, efficient, and easy to learn. The flexibility is achieved by layered encapsulation, which decouples the device driver with the sensor node operating system kernel. Our framework gives the reusability at the source code level, so it’s efficient. At the end, our framework is implemented in C programming language, which is the most common tool adopted by embedded system developing. This framework has applied to SenSpire OS, a micro-kernel real-time operating system for IoT sensor nodes.

scholarly journals Outdoor Localization of Robot with RSSI for Iot Connected Smart Devices

2019 ◽  
Vol 8 (3) ◽  
pp. 2050-2054
Keyword(s):  
Low Cost ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Sensor Technology ◽  
Smart Devices ◽  
Future Research ◽  
Localization Technique ◽  
Highly Efficient ◽  
Area Of Interest ◽  
Outdoor Localization

Wireless sensor Technology has evolved as a true leader in the current era, surpassing the conventional wired technology.It gains over the conventional wired technology in respect of being more efficient and robust.In order to confine and transmit the data to the specified destination, Wireless sensor technology has shown its mettle to do things at great ease.Thus the door to the area of all future research realted to localization sytem and various technologies have opened. So to identify the location of the data is of prime importance as the essence lies in the fact that from where the data has been collected.Spotting the sensor nodes using suitable algorithm is commmonly termed as localization, which is a fascinating area of interest in the field of research and many reaserchers have carried out their exhaustive work in this area.In order to match up with the pace of the fast evolving technologies,it is the utmost need to develop and design a low-cost ,highly efficient localization technique for wireless sensor technologies.

Embedded Flexible Hybrid Electronics for the Internet of Things

2015 ◽  
Vol 2015 (1) ◽  
pp. 000006-000013 ◽  
Author(s):  
Val R. Marinov
Keyword(s):  
Internet Of Things ◽  
Low Cost ◽  
System Level ◽  
Smart Devices ◽  
The Internet ◽  
Physical Form ◽  
Pick And Place ◽  
The Cost ◽  
The Internet Of Things ◽  
Generation Technology

The Internet of Things (IoT) “things” are often times described as active or smart devices and objects augmented with sensing, processing, and network capabilities. These smart objects are in the heart of the IoT concept but they alone cannot realize the full potential of IoT. The most ubiquitous objects in the IoT ecosystem, those that reside at the lowest system level and interact with the higher-level smart object, are based on the passive RFID technology. In the form of wireless passive sensors these objects are found in smart packaging, they form the backbone of the structural health monitoring systems, they provide non-invasive and continuous monitoring of physiological parameters, etc. RFID capability is already added to everyday items in the physical form of adhesive “smart” labels, enabling them to become “citizens” of the IoT ecosystem, but this “add-on“ approach increases the implementation cost and oftentimes impacts negatively the host item's form factor and appearance. It also does very little in terms of security and counterfeit prevention. On the other hand, the key economic factor that drives the deployment of the IoT is the cost at the end points. Therefore, the future of the IoT depends on developing an ultra-low-cost technology solution that can mass-produce low cost, RFID-enabled IoT objects on flexible substrates, ready for integration into everyday items. In some cases, such as in intelligent packaging, these objects will be non-obstructive and seamlessly integrated in their hosts. This integration will minimize the cost of implementation and will provide an insurmountable barrier to counterfeiters as they will need access to sophisticated and capital-intensive technologies in order to be able to alter or replicate the product's embedded configuration. Presented are two disruptive processes for packaging of ultrathin flexible hybrid electronic systems with ICs as thin as 15–20 μm and as small as 250 μm per side. The first generation technology is a modification of the conventional pick-and-place technique and has been already demonstrated on a commercial-grade roll-to-roll assembly line with packaging rates exceeding 10,000 cph. The second generation technology uses a laser beam to scan and transfer ultrathin, ultra-small ICs for high-precision assembly onto various flexible and rigid substrates. It provides packaging rates significantly exceeding those of the conventional pick-and-place equipment. Reported are also results from integrating the resulting ultrathin flexible hybrid electronic devices into thin materials such as paper and plastics.

scholarly journals An Efficient Information Aggregation Scheme in Internet of Things: Multi Agent based Approach

2021 ◽  
Vol 11 (1) ◽  
pp. 23-31
Author(s):  
Sharanappa P. H. ◽  
◽  
Mahabaleshwar S. Kakkasageri ◽  
Keyword(s):  
Energy Efficiency ◽  
Internet Of Things ◽  
Data Aggregation ◽  
Intelligent Agents ◽  
Information Aggregation ◽  
Life Time ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Sensor Technology ◽  
Smart Devices

The use of wireless sensor technology in various Internet of Things (IoT) applications is growing rapidly. With the exponential increase of smart devices and their applications, collecting and analyzing data is gradually becoming one of the most difficult tasks. As sensor nodes are powered by batteries, energy efficiency is essential. To that intention, before passing the final data to the central station, a sensor node should reduce redundancies in the received data from neighbor nodes. There will be some redundancy in the data because different sensor nodes typically notice the same phenomenon. Data aggregation is one of the most important approaches for eliminating data redundancy and improving energy efficiency, as well as extending the life time of wireless sensor networks. Furthermore, the effective data aggregation technique might help to reduce network traffic. In this paper we have proposed cluster based data aggregation using intelligent agents. The performance of the proposed scheme is compared with Centralized Data Aggregation (CDA) mechanism in IoT.

scholarly journals Evaluating Awareness and Perception of Botnet Activity within Consumer Internet-of-Things (IoT) Networks

Informatics ◽  
2019 ◽  
Vol 6 (1) ◽  
pp. 8 ◽  
Author(s):  
Christopher McDermott ◽  
John Isaacs ◽  
Andrei Petrovski
Keyword(s):  
Internet Of Things ◽  
Large Scale ◽  
Low Cost ◽  
Security And Privacy ◽  
Smart Devices ◽  
The Internet ◽  
Clear Correlation ◽  
Technical Knowledge ◽  
Home Networks ◽  
Cross Sectional

The growth of the Internet of Things (IoT), and demand for low-cost, easy-to-deploy devices, has led to the production of swathes of insecure Internet-connected devices. Many can be exploited and leveraged to perform large-scale attacks on the Internet, such as those seen by the Mirai botnet. This paper presents a cross-sectional study of how users value and perceive security and privacy in smart devices found within the IoT. It analyzes user requirements from IoT devices, and the importance placed upon security and privacy. An experimental setup was used to assess user ability to detect threats, in the context of technical knowledge and experience. It clearly demonstrated that without any clear signs when an IoT device was infected, it was very difficult for consumers to detect and be situationally aware of threats exploiting home networks. It also demonstrated that without adequate presentation of data to users, there is no clear correlation between level of technical knowledge and ability to detect infected devices.

scholarly journals A INDOOR POSITION ROUTING (IPR) AND DATA MONITOR USING BLUETOOTH LOW ENERGY TECHNOLOGY (iBEACON-BLE): AN IMPLEMENTATION STUDY

2021 ◽  
Vol 5 (1) ◽  
pp. 38-61
Author(s):  
Batur Alp Akgül ◽  
Bülent HAZNEDAR ◽  
Abdurrahman YAŞAR ◽  
Mustafa Ersan ÇİNKILIÇ
Keyword(s):  
Mobile Application ◽  
Low Cost ◽  
Low Energy ◽  
Sensor Nodes ◽  
Smart Devices ◽  
Smart Device ◽  
Indoor Environments ◽  
Bluetooth Low Energy ◽  
Proposed Model ◽  
Mobile Industry

Rapid advancements in mobile industry have emerged new technological ideas and applications for researchers by allowing smart devices over the last decade. In recent years, the need for Indoor Position Routing (IPR) and Location-Based Advertisements (LBA) systems are increasingly common, IPR and LBA systems have been becoming very popular. Nowadays, it has become possible to create software and hardware applications for IPR and LBA in indoor environments, thanks to developments of different technologies. The development of the system should be based on low-cost technology, it should be suitable for integration and indoors operation. New options and possibilities for indoor locations are presented by the iBeacon-Bluetooth Low Energy (BLE) radio protocol. iBeacon-BLE supports portable battery-powered system that can be smoothly distributed at low cost giving it distinct advantages over Wi-Fi. Therefore, in this study, a technological infrastructure is created to solve the navigation problem in closed locations using iBeacon-BLE technology, a data monitoring information system is proposed for smart devices of currently available technology for IPR, LBA with using iBeacon-BLE. The localization of the objects based on iBeacon-BLE and their combination are determined using the measured data with the developed application. To build an IPR system for indoor environments, the available hardware, software, and network technologies are presented. The concept of the indoor monitoring system and the technologies can be used to develop the IPR system are presented. This system is made up of iBeacon-BLE sensor nodes, a smart device and a mobile application that provides IPR and LBA services by measuring the distance between Transmitter (TX) and Receiver (RX). The proposed model uses the trilateration method, it allows the mobile application to determine the exact location of the object at the micro-level size. The proposed model uses sensory data to identify and trilateration the object’s position.

Internet of Things (IoT) Technologies, Architecture, Protocols, Security, and Applications

2018 ◽  
pp. 149-174 ◽  
Author(s):  
B. Baranidharan
Keyword(s):  
Internet Of Things ◽  
Special Kind ◽  
Smart Devices ◽  
Memory Space ◽  
Smart Vehicles ◽  
Architecture Model ◽  
Smart Healthcare ◽  
Running Shoes ◽  
Smart Agriculture ◽  
Smart Industry

Internet of things (IoT) is a rapidly developing technology that connects various kinds of smart miniature things such as smart medical alert watches, smart vehicles, smart phones, smart running shoes, etc. Smart devices are connected through internet and can communicate to other smart devices in any part of the world in an automated manner. IoT environment often uses constrained devices with low energy, low processing capability, and low memory space. In order to prevent communication failure, a special kind of architecture is needed for IoT. This chapter presents a review of the basic architecture model, communication protocol of IoT, security aspects of IoT, and various IoT applications such as smart agriculture, water management, smart healthcare, smart home, smart industry, and smart vehicles.

scholarly journals Towards a Low-Cost Precision Viticulture System Using Internet of Things Devices

IoT ◽  
2020 ◽  
Vol 1 (1) ◽  
pp. 5-20 ◽  
Author(s):  
Petros Spachos
Keyword(s):  
Internet Of Things ◽  
Precision Agriculture ◽  
Low Cost ◽  
Base Station ◽  
Sensor Nodes ◽  
Wireless Sensor Nodes ◽  
Precision Viticulture ◽  
Iot Devices ◽  
Agricultural Areas ◽  
The Internet Of Things

Precision Agriculture (PA) is an ever-expanding field that takes modern technological advancements and applies it to farming practices to reduce waste and increase output. One advancement that can play a significant role in achieving precision agriculture is wireless technology, and specifically the Internet of Things (IoT) devices. Small, inch scale and low-cost devices can be used to monitor great agricultural areas. In this paper, a system for precision viticulture which uses IoT devices for real-time monitoring is proposed. The different components of the system are programmed properly and the interconnection between them is designed to minimize energy consumption. Wireless sensor nodes measure soil moisture and soil temperature in the field and transmit the information to a base station. If the conditions are optimal for a disease or pest to occur, a drone flies towards the area. When the drone is over the node, pictures are captured and then it returns to the base station for further processing. The feasibility of the system is examined through experimentation in a realistic scenario.

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