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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A low-cost noise measurement device for noise mapping based on mobile sampling
TL;DR: A set of mobile measurements taken suggest that it is actually possible to perform the mobile sampling, which would improve the spatiotemporal granularity of noise measurements without compromising the accuracy, although certain requirements should be fulfilled to ensure representativeness.
Journal ArticleDOI
Retrofit planning and execution of a mediterranean villa using on-site measurements and simulations
TL;DR: In this paper, a full rehabilitation study (retrofit) of an isolated villa in a Mediterranean climate was carried out in order to show how a retrofit of a building with a combination of simple passive and active strategies can improve the sustainability, energy efficiency and the thermal comfort.
Proceedings ArticleDOI
Data Center Environment Monitoring System
TL;DR: An IoT-developed platform using LoRa communication to a Data Center to understand temperature behavior within a concentration of servers and the working behavior of these server machines and the gradient temperature was found in the rack.
Proceedings ArticleDOI
Blockchain on MSP430 with IEEE 802.15.4
TL;DR: In this paper, an integration of Blockchains (BC) with the Internet of Things (IoT) using a highly constrained TelosB IoT platform based on the MSP430 processor family and CC2420 IEEE 802.15.4-compliant radio interfaces is presented.
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Evaluation of convolutional neural networks for the classification of falls from heterogeneous thermal vision sensors
TL;DR: In multiple occupancy, the low- resolution thermal vision sensor with a wide viewing angle obtains better performance and reduction of learning time, in comparison with the high-resolution thermal vision sensors with a central viewing angle.
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.