Wireless Sensor Network System Design using Raspberry Pi and Arduino for Environmental Monitoring Applications
Sheikh Ferdoush,Xinrong Li +1 more
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TLDR
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.read more
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Implementation and Commercialization of the Results of the “Multidisciplinary Mobile Computer Classroom Based on Raspberry Pi” Project
TL;DR: The developed technology for using the Raspberry Pi micro-computer to teach practical skills on computer networks and operating systems, which can be universally used, including in the field of education without any restrictions is described.
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Empirical Approach in Topology Control of Sensor Networks for Urban Environment
TL;DR: Research into the topology control of Wireless Sensor Networks has actually been rarely used by network designers, while sensor systems that have already been deployed and are under continued development in urban environments frequently suffer from the patterns and research models available.
Proceedings ArticleDOI
Wireless Sensor Networks for Effective Environmental Tracking System Using IoT and Sensors
TL;DR: This paper implements a long-term environmental monitoring system by using IoT and sensors with less cost, large number of sensors, fast deployment, long lifetime, less maintenance, and large satisfactory of service are taken into considered.
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Build IoT through Virtual Reality
TL;DR: This mobile application of VR technology could enhance the traditional form of teaching and learning in order to improve student’s knowledge and interest about Raspberry Pi which improves their understanding and experience using technology for learning.
Proceedings ArticleDOI
Soil Quality Management Using Wireless Sensor Network
TL;DR: In the proposed Soil Quality Management System, a farmer can get real-time test results of significant soil parameters, which play a crucial role in increasing the yield, which makes use of the hardware platforms, Arduino and Raspberry Pi which are open-source.
References
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Ajax: A New Approach to Web Applications
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.
Proceedings ArticleDOI
MoteLab: a wireless sensor network testbed
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.
Book ChapterDOI
Indriya: A Low-Cost, 3D Wireless Sensor Network Testbed
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.
Proceedings ArticleDOI
A flexible web service based architecture for wireless sensor networks
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.
Journal ArticleDOI
Integration of wireless sensor networks in environmental monitoring cyber infrastructure
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.