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Open AccessJournal ArticleDOI

Wireless Sensor Network System Design using Raspberry Pi and Arduino for Environmental Monitoring Applications

Sheikh Ferdoush, +1 more
- 15 Aug 2014 - 
- Vol. 34, Iss: 34, pp 103-110
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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.

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Journal ArticleDOI

A cost-effective, scalable, and portable IoT data infrastructure for indoor environment sensing

TL;DR: Building Data Lite (BDL) as discussed by the authors is a cost-effective, distributed, scalable, and portable indoor environmental data collection system based on Raspberry Pi computers and multiple changeable arrays of sensors, such as sensors of temperature, humidity, light, motion, sound, vibration and multiple types of gases.
Journal ArticleDOI

Improving Adhoc wireless sensor networks security using distributed automaton

TL;DR: Simulations show the effectiveness of the proposed Intelligent Control Mechanism to secure WSN based on the principles of Distributed Automaton in not only improving the network performance but also reduction in time space complexities.
Journal ArticleDOI

OPEnS Hub: Real-time Data Logging, Connecting Field Sensors to Google Sheets

TL;DR: The OPEnS Hub is a new approach to using low-power, open-source hardware and software to achieve real-time data logging from the field to the web, and aims to reduce technical barriers for users with little programming experience.
Journal ArticleDOI

Characteristics of CO2 and Energy-Saving Concrete with Porous Feldspar.

TL;DR: To reduce the use of cement and sand, porous feldspar with excellent economic efficiency was used as a substitute in the heat storage concrete layer and exhibited better heat conduction and heat storage characteristics than the heatstorage layer composed of ordinary cement mortar.
Proceedings ArticleDOI

Non-invasive sleep-environment monitoring system

TL;DR: The main goal of this in-home device is to give more accurate information to physicians and technical staff, assisting in the screening process, reducing costs and helping to improve the well-being of people with sleep disorders.
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.
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