A Design and Development Experience of an Internet of Things Platform to Monitor Site-Specific Weather Conditions at the Farm Level

2021 ◽  
Vol 37 (4) ◽  
pp. 691-700
Author(s):  
Thiago Borba Onofre ◽  
Clyde W Fraisse ◽  
Janise McNair ◽  
Jasmeet Judge ◽  
Lincoln Zotarelli ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Open Source ◽  
Weather Conditions ◽  
Sensor Nodes ◽  
Mesh Network ◽  
Wireless Sensor ◽  
Weather Station ◽  
Site Specific ◽  
Farm Level ◽  
Iot Platform

Highlights We present an Internet of Things (IoT) platform to monitor site-specific weather conditions at the farm level. We built a distributed mesh network of sensor nodes using open-source and open-hardware tools. We tested different communication range scenarios and installation setups. Emerging IoT technologies are susceptible to failure but have the potential to improve site-specific data collection. Abstract . This article describes the design, deployment, and evaluation of an Internet of Things (IoT) platform to monitor site-specific weather conditions at the farm level using wireless sensor networks (WSN). A distributed mesh network of sensor nodes was developed using open-source software and hardware tools to monitor temperature and relative humidity in-field environmental conditions. The IoT prototype was tested at the University of Florida’s research farm. Data from the sensor nodes were compared to a Florida Automated Weather Network weather station. The results of this study will contribute to the implementation of site-specific collection tools and with site-specific decision management in specialty crop production systems. A significant advantage of IoT and WSN over a standalone weather station is the capability to monitor micro-weather conditions that may lead to site-specific management operations. Keywords: Affordable, Farm, Internet of Things, Mesh Network, Prototype, Wireless Sensor Network.

scholarly journals WSN Based Flood Estimations and Early Cautioning System using IoT

2019 ◽  
Vol 8 (10) ◽  
pp. 3916-3919
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Physical Phenomenon ◽  
Real Life ◽  
Network Connectivity ◽  
Weather Conditions ◽  
Environmental Data ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
The Internet

Wireless Sensor Networks (WSN ) provides virtual layer where knowledge regarding actual world can be retrieved by any computational arrangement as these operate as digital skin. These are irreplaceable possessions used for comprehending ideas of IoT as they are used to gather information about physical phenomenon. IoT offers virtual interpretation through Internet Protocol towards a huge variation of real-life objects from buses to saucer, from building to trees in woods. Its appeal is the universal widespread access to the status and location of anything we may be interested in. The Internet of Things (IoT) is the network of physical objects, devices, vehicles, buildings and other items which are embedded with electronics, software, sensors, and network connectivity, which enables these objects to collect and exchange data. WSNs are combined into the “IoT”, where sensor nodes join the Internet vigorously and use it to collaborate and carry out their tasks. Wireless sensor networks (WSN) are well suited for longterm environmental data acquisition for IoT representation. Weather conditions monitoring is made by gathering quantifiable information regarding prevailing condition of atmospheric procedure to venture how will it progress in that location

scholarly journals An Open-Source Wireless Sensor Node Platform with Active Node-Level Reliability for Monitoring Applications

Sensors ◽  
2021 ◽  
Vol 21 (22) ◽  
pp. 7613
Author(s):  
Dominik Widhalm ◽  
Karl M. Goeschka ◽  
Wolfgang Kastner
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Open Source ◽  
Sensor Node ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Battery Life ◽  
Active Node ◽  
Data Distortion ◽  
Monitoring Applications

In wireless sensor networks, the quality of the provided data is influenced by the properties of the sensor nodes. Often deployed in large numbers, they usually consist of low-cost components where failures are the norm, even more so in harsh outdoor environments. Current fault detection techniques, however, consider the sensor data alone and neglect vital information from the nodes’ hard- and software. As a consequence, they can not distinguish between rare data anomalies caused by proper events in the sensed data on one side and fault-induced data distortion on the other side. In this paper, we contribute with a novel, open-source sensor node platform for monitoring applications such as environmental monitoring. For long battery life, it comprises mainly low-power components. In contrast to other sensor nodes, our platform provides self-diagnostic measures to enable active node-level reliability. The entire sensor node platform including the hardware and software components has been implemented and is publicly available and free to use for everyone. Based on an extensive and long-running practical experiment setup, we show that the detectability of node faults is improved and the distinction between rare but proper events and fault-induced data distortion is indeed possible. We also show that these measures have a negligible overhead on the node’s energy efficiency and hardware costs. This improves the overall reliability of wireless sensor networks with both, long battery life and high-quality data.

scholarly journals A Secure and Privacy-Preserving Three-Factor Anonymous Authentication Scheme for Wireless Sensor Networks in Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Qi Xie ◽  
Zixuan Ding ◽  
Bin Hu
Keyword(s):  
Internet Of Things ◽  
Smart Grids ◽  
Authentication Scheme ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Smart Transportation ◽  
Anonymous Authentication ◽  
Smart Healthcare ◽  
Stolen Verifier Attack ◽  
Three Factor

The Internet of things is playing more and more important role in smart healthcare, smart grids, and smart transportation, and using wireless sensor network (WSN), we can easily obtain and transmit information. However, the data security and users’ privacy are the biggest challenges for WSN because sensor nodes have low computing power and low storage capacity and are easy to be captured, and wireless networks are vulnerable. In 2021, Shuai et al. proposed a lightweight three-factor anonymous authentication scheme for WSN. However, we found that their protocol is vulnerable to stolen-verifier attack, modification of messages’ attack, and no perfect forward secrecy. Then, a new three-factor anonymous authentication scheme using elliptic curve cryptography (ECC) is proposed. Through informal and formal security analyses, our scheme can resist various known attacks and maintains low computational complexity.

scholarly journals Low-Cost, Open Source IoT-Based SCADA System Design Using Thinger.IO and ESP32 Thing

Electronics ◽  
2019 ◽  
Vol 8 (8) ◽  
pp. 822 ◽  
Author(s):  
Lawrence Oriaghe Aghenta ◽  
Mohammad Tariq Iqbal
Keyword(s):  
Internet Of Things ◽  
Open Source ◽  
Supervisory Control ◽  
Low Cost ◽  
Raspberry Pi ◽  
Voltage Sensors ◽  
Scada System ◽  
Iot Platform ◽  
Field Instrumentation ◽  
Distributed Processes

Supervisory Control and Data Acquisition (SCADA) is a technology for monitoring and controlling distributed processes. SCADA provides real-time data exchange between a control/monitoring centre and field devices connected to the distributed processes. A SCADA system performs these functions using its four basic elements: Field Instrumentation Devices (FIDs) such as sensors and actuators which are connected to the distributed process plants being managed, Remote Terminal Units (RTUs) such as single board computers for receiving, processing and sending the remote data from the field instrumentation devices, Master Terminal Units (MTUs) for handling data processing and human machine interactions, and lastly SCADA Communication Channels for connecting the RTUs to the MTUs, and for parsing the acquired data. Generally, there are two classes of SCADA hardware and software; Proprietary (Commercial) and Open Source. In this paper, we present the design and implementation of a low-cost, Open Source SCADA system by using Thinger.IO local server IoT platform as the MTU and ESP32 Thing micro-controller as the RTU. SCADA architectures have evolved over the years from monolithic (stand-alone) through distributed and networked architectures to the latest Internet of Things (IoT) architecture. The SCADA system proposed in this work is based on the Internet of Things SCADA architecture which incorporates web services with the conventional (traditional) SCADA for a more robust supervisory control and monitoring. It comprises of analog Current and Voltage Sensors, the low-power ESP32 Thing micro-controller, a Raspberry Pi micro-controller, and a local Wi-Fi Router. In its implementation, the current and voltage sensors acquire the desired data from the process plant, the ESP32 micro-controller receives, processes and sends the acquired sensor data via a Wi-Fi network to the Thinger.IO local server IoT platform for data storage, real-time monitoring and remote control. The Thinger.IO server is locally hosted by the Raspberry Pi micro-controller, while the Wi-Fi network which forms the SCADA communication channel is created using the Wi-Fi Router. In order to test the proposed SCADA system solution, the designed hardware was set up to remotely monitor the Photovoltaic (PV) voltage, current, and power, as well as the storage battery voltage of a 260 W, 12 V Solar PV System. Some of the created Human Machine Interfaces (HMIs) on Thinger.IO Server where an operator can remotely monitor the data in the cloud, as well as initiate supervisory control activities if the acquired data are not in the expected range, using both a computer connected to the network, and Thinger.IO Mobile Apps are presented in the paper.

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 Indoor Localisation of Wireless Sensor Nodes Towards Internet of Things

2017 ◽  
Vol 109 ◽  
pp. 92-99 ◽  
Author(s):  
P.Z. Sotenga ◽  
K. Djouani ◽  
A.M. Kurien ◽  
M.M. Mwila
Keyword(s):  
Internet Of Things ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Wireless Sensor Nodes ◽  
Indoor Localisation

Design and Implementation of the CNC Monitoring System Based on Internet of Things

2014 ◽  
Vol 945-949 ◽  
pp. 1552-1557 ◽  
Author(s):  
Yi Lin Zheng ◽  
Hu Lin ◽  
Xian Li Su
Keyword(s):  
Internet Of Things ◽  
Monitoring System ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Long Distance ◽  
Wireless Sensor Nodes ◽  
Communication Signal ◽  
Cable Laying ◽  
Distance Communication ◽  
Internet Of Things Technology

Aiming at the shortcomings of the traditional CNC sensor network such as the difficult cable laying and long-distance communication signal attenuation, this paper designed the CNC monitoring system based on Internet of Things technology. The design reduced the power consumption of the wireless sensor nodes and the packet loss rate of the sink nodes through the hardware-software co-design. The Internet of Things protocol presented in this paper achieved the real-time communication between the CNC operating platform and the wireless sensor nodes. The experiment result shows that the CNC monitoring system based on Internet of Things technology can provide the temperature and vibration information for the CNC operating platform in time with the advantages of simple layout and reliable communication.

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