Wireless Sensor Network System Design using Raspberry Pi and Arduino for Environmental Monitoring Applications
TL;DR: This paper from the 9th International Conference on Future Networks and Communications, FNC 2014 conference proceedings describes a wireless sensor network system developed using open-source hardware platforms, Arduino and Raspberry Pi.
About: This article is published in Procedia Computer Science.The article was published on 2014-08-15 and is currently open access. It has received 373 citations till now. The article focuses on the topics: Wireless sensor network & Arduino.
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TL;DR: This evaluation intends to propose a new approach for examining methods by considering the methodology-based parameters such as capabilities and constraints, examined inputs and outputs in each method, type of algorithm used in the methods, the purpose of using algorithms, etc.
154 citations
26 Apr 2017
TL;DR: The system proposed in this work monitors the water quality based on wireless sensor networks and on the Internet of Things (IoT) since it allows sharing the different conditions in the breeding of aquatic organisms between different breeders and organizations.
Abstract: In this work we present the prototype and proof of concept of a distributed monitoring system of the most important variables in aquaculture water quality. This is of great importance because aquaculture is a lagging area of technology compared to other areas such as agriculture. So it is important to solve the problems that are in this area with the support of technology. Among the problems is the slow response time in the care of water quality, the waste of resources and losses. The system proposed in this work monitors the water quality based on wireless sensor networks and on the Internet of Things (IoT). This information is important for the development of this area, since it allows sharing the different conditions in the breeding of aquatic organisms between different breeders and organizations. This information is useful to know the conditions in which there is a better development of a product, worse development, what conditions can mean a possible disaster in the environment and how to optimize resources for the care of the pond.
119 citations
Cites methods from "Wireless Sensor Network System Desi..."
...A research titled Wireless Sensor Network System Design using Raspberry Pi and Arduino for Environmental Monitoring Applications [13] shows how wireless sensor networks are an important technology to innovate in different applications....
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...A research titled Wireless Sensor Network System Design using Raspberry Pi and Arduino for Environmental Monitoring Applications [13] shows how wireless sensor networks are an important technology to innovate in different...
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TL;DR: This paper is a study and proposal paper which discusses the factors and studies that lead towards this patent pending invention, AGRIPI.
Abstract: Agriculture plays a significant role in most countries and there is an enoromous need for this industry to become “Smart”. The Industry is now moving towards agricultural modernization by using modern smart technologies to find solutions for effective utilization of scarce resources there by meeting the ever increasing consumtion needs of global population. With the advent of Internet of Things and Digital transformation of rural areas, these technologies can be leveraged to remotely monitor soil moisture, crop growth and take preventive measures to detect crop damages and threats. Utilize artificial intelligence based analytics to quickly analyze operational data combined with 3rd party information, such as weather services, expert advises etc., to provide new insights and improved decision making there by enabling farmers to perform “Smart Agriculture”. Remote management of agricultural activities and their automation using new technologies is the area of focus for this research activity. A solar powered remote management and automation system for agricultural activities through wireless sensors and Internet of Things comprising, a hardware platform based on Raspberry Pi Micro controller configured to connect with a user device and accessed through the internet network. The data collection unit comprises a set of wireless sensors for sensing agricultural activities and collecting data related to agricultural parameters; the base station unit comprising: a data logger; a server; and a software application for processing, collecting, and sending the data to the user device. The user device ex: mobile, tablet etc. can be connected to an internet network, whereby an application platform (mobile-app) installed in the user device facilitates in displaying a list of wireless sensor collected data using Internet of Things and a set of power buttons. This paper is a study and proposal paper which discusses the factors and studies that lead towards this patent pending invention, AGRIPI.
95 citations
TL;DR: In this article, the authors proposed a customized cost-effective solution that allows monitoring and predicting the performance of PV systems, fostering thus efficient planning and control strategies for network stability, and designed an in-house system featuring a buckboost converter enhanced with a maximum power point tracker (MPPT) serving as a PV load, sensors' system that collects climatic parameters including dust, wireless Radio, and a LabVIEW based monitoring and recording station.
89 citations
TL;DR: A methodical literature review intended to intensively analyze and compare existing primary studies on prototyping with Arduino was presented, finding about 130 of such studies, all peer-reviewed and published within the last 15 years, including these years (2015–2020).
82 citations
References
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01 Jan 2007
TL;DR: The same simplicity that enabled the Web’s rapid proliferation also creates a gap between the experiences Web interaction designers can provide and the experiences users can get from a desktop application.
Abstract: Despite this, Web interaction designers can’t help but feel a little envious of our colleagues who create desktop software. Desktop applications have a richness and responsiveness that has seemed out of reach on the Web. The same simplicity that enabled the Web’s rapid proliferation also creates a gap between the experiences we can provide and the experiences users can get from a desktop application.
1,386 citations
24 Apr 2005
TL;DR: MoteLab accelerates application deployment by streamlining access to a large, fixed network of real sensor network devices; it accelerates debugging and development by automating data logging, allowing the performance of sensor network software to be evaluated offline.
Abstract: As wireless sensor networks have emerged as a exciting new area of research in computer science, many of the logistical challenges facing those who wish to develop, deploy, and debug applications on realistic large-scale sensor networks have gone unmet. Manually reprogramming nodes, deploying them into the physical environment, and instrumenting them for data gathering is tedious and time-consuming. To address this need we have developed MoteLab, a Web-based sensor network testbed. MoteLab consists of a set of permanently-deployed sensor network nodes connected to a central server which handles re programming and data logging while providing a Web interface for creating and scheduling jobs on the testbed. MoteLab accelerates application deployment by streamlining access to a large, fixed network of real sensor network devices; it accelerates debugging and development by automating data logging, allowing the performance of sensor network software to be evaluated offline Additionally, by providing a Web interface MoteLab allows both local and remote users access to the testbed, and its scheduling and quota system ensure fair sharing. We have developed and deployed MoteLab at Harvard and found ft invaluable for both research and teaching. The MoteLab source is freely available, easy to install, and already in use at several other research institutions. We expect that widespread use of MoteLab will accelerate and improve wireless sensor network research.
638 citations
17 Apr 2011
TL;DR: Indriya as mentioned in this paper is a large-scale low-cost wireless sensor network testbed deployed at the National University of Singapore (NU) which uses TelosB devices and it is built on an active-USB infrastructure.
Abstract: This paper presents Indriya, a large-scale, low-cost wireless sensor network testbed deployed at the National University of Singapore. Indriya uses TelosB devices and it is built on an active-USB infrastructure. The infrastructure acts as a remote programming back-channel and it also supplies electric power to sensor devices. Indriya is designed to reduce the costs of both deployment and maintenance of a large-scale testbed. Indriya has been in use by over 100 users with its maintenance incurring less than US$500 for almost 2 years of its usage.
232 citations
19 May 2003
TL;DR: This work proposes a Web Services approach for the design of sensor networks, in which sensor nodes are service providers and applications are clients of such services, to enable a flexible architecture where sensor networks data can be accessed by users spread all over the world.
Abstract: The current sensor networks are assumed to be designed for specific applications, having strongly coupled data communication protocols. The future sensor networks are envisioned as comprising heterogeneous devices assisting to a large range of applications. To achieve this goal, a new architecture approach is needed, having application specific features separated from the data communication protocol, while influencing its behavior. We propose a Web Services approach for the design of sensor networks, in which sensor nodes are service providers and applications are clients of such services. Our main goal is to enable a flexible architecture where sensor networks data can be accessed by users spread all over the world.
80 citations
TL;DR: A novel environmental monitoring system with a focus on overall system architecture for seamless integration of wired and wireless sensors for long-term, remote, and near-real-time monitoring and a new WSN-based soil moisture monitoring system is developed and deployed to support hydrologic monitoring and modeling research.
Abstract: Wireless sensor networks (WSNs) have great potential to revolutionize many science and engineering domains. We present a novel environmental monitoring system with a focus on overall system architecture for seamless integration of wired and wireless sensors for long-term, remote, and near-real-time monitoring. We also present a unified framework for sensor data collection, management, visualization, dissemination, and exchange, conforming to the new Sensor Web Enablement standard. Some initial field testing results are also presented. The monitoring system is being integrated into the Texas Environmental Observatory infrastructure for long-term operation. As part of the integrated system, a new WSN-based soil moisture monitoring system is developed and deployed to support hydrologic monitoring and modeling research. This work represents a significant contribution to the empirical study of the emerging WSN technology. We address many practical issues in real-world application scenarios that are often neglected in the existing WSN research.
73 citations