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Proceedings ArticleDOI

Zone specific weather monitoring system using crowdsourcing and telecom infrastructure

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TLDR
A weather monitoring system which is a confluence of embedded systems, crowdsourcing and telecom infrastructure is proposed which can be coupled with wireless weather stations to provide real-time weather data.
Abstract
Weather monitoring has become a quintessential aspect in a variety of fields. Often the challenge lies in fetching accurate information from the site. Having weather information regarding just a particular city isn't sufficient as the weather changes are brisk. In a large city, weather conditions vary from region-to-region. Zone-specific information is needed during such scenarios. Crowdsourcing can be largely influential in such cases. By acquiring resources from a group of service providers, it can aid in the easy retrieval of weather parameters. The most significant players in this approach are the Telecom Service Providers, who have a pool of infrastructure in the form of towers and grids. This infrastructure can be coupled with wireless weather stations to provide real-time weather data. In this paper, we propose a weather monitoring system which is a confluence of embedded systems, crowdsourcing and telecom infrastructure.

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Citations
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Proceedings ArticleDOI

An IoT based weather information prototype using WeMos

TL;DR: A low-cost weather monitoring system which retrieves the weather condition of any location from the cloud database management system and shows the output on an OLED display and allows to access the current data of any station is proposed.
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Low cost weather station for climate-smart agriculture

TL;DR: The results show that the lab-made weather monitoring system is equivalently efficient to measure various weather parameters, and the designed system welcomes low-income farmers to integrate it into their climate-smart farming practice.
Journal ArticleDOI

Social weather: A review of crowdsourcing‐assisted meteorological knowledge services through social cyberspace

TL;DR: Previous studies show that the use of crowdsourcing in social space can expand the coverage as well as enhance the performance of meteorological service and are contributing towards a systemic and intelligent knowledge service to establish a better bridge among academic, industrial and individual community.
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A Parallelization based Data Management Framework for Pervasive IoT Applications

TL;DR: The results show an improvement in energy, processing, and storage requirements for the processing of data on the IoT device in the proposed framework as compared to the sequential approach.
References
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Journal ArticleDOI

A Microcomputer-based weather station monitoring system

TL;DR: The hardware and software required for the automation of data collection from a weather station and the work undertaken at Lampeter under the Microcomputer Environmental Probes Project (MEPP) which has successfully interfaced the campus weather station with a BBC microcomputer are discussed.
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