Zone specific weather monitoring system using crowdsourcing and telecom infrastructure

Vishwarupe, Varad; Bedekar, Mangesh; Zahoor, Saniya

doi:10.1109/infop.2015.7489495

Cited by 8 publications

(3 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Researchers have also discussed the possibility of integrating automatic weather sensors with microwave transmission towers, and transmitting the collected data through wireless communication networks (Vishwarupe et al, ). These sensors have the potential to form an extensive infrastructure system for monitoring weather, thereby enabling better management of weather related issues (e.g., heat waves).…”

Section: Review Of Crowdsourcing Data Acquisition Methods Usedmentioning

confidence: 99%

See 1 more Smart Citation

Crowdsourcing Methods for Data Collection in Geophysics: State of the Art, Issues, and Future Directions

Zheng

Tao

Maier

et al. 2018

Reviews of Geophysics

111

View full text Add to dashboard Cite

Data are essential in all areas of geophysics. They are used to better understand and manage systems, either directly or via models. Given the complexity and spatiotemporal variability of geophysical systems (e.g., precipitation), a lack of sufficient data is a perennial problem, which is exacerbated by various drivers, such as climate change and urbanization. In recent years, crowdsourcing has become increasingly prominent as a means of supplementing data obtained from more traditional sources, particularly due to its relatively low implementation cost and ability to increase the spatial and/or temporal resolution of data significantly. Given the proliferation of different crowdsourcing methods in geophysics and the promise they have shown, it is timely to assess the state of the art in this field, to identify potential issues and map out a way forward. In this paper, crowdsourcing‐based data acquisition methods that have been used in seven domains of geophysics, including weather, precipitation, air pollution, geography, ecology, surface water, and natural hazard management, are discussed based on a review of 162 papers. In addition, a novel framework for categorizing these methods is introduced and applied to the methods used in the seven domains of geophysics considered in this review. This paper also features a review of 93 papers dealing with issues that are common to data acquisition methods in different domains of geophysics, including the management of crowdsourcing projects, data quality, data processing, and data privacy. In each of these areas, the current status is discussed and challenges and future directions are outlined.

show abstract

Section: Review Of Crowdsourcing Data Acquisition Methods Usedmentioning

confidence: 99%

“…It should be noted that there are also cases where different instruments can be combined to collect/estimate data. For example, weather stations and microwave links were jointly used to estimate wind and humidity by Vishwarupe et al ().…”

Section: Review Of Crowdsourcing Data Acquisition Methods Usedmentioning

confidence: 99%

Crowdsourcing Methods for Data Collection in Geophysics: State of the Art, Issues, and Future Directions

Zheng

Tao

Maier

et al. 2018

Reviews of Geophysics

111

View full text Add to dashboard Cite

show abstract

“…Infrastructure and ad hoc physical collectors also bring an extra opportunity for establishing meteorological knowledge service (Chapman et al , ). Vishwarupe et al, () proposed an embedded system to collect real‐time weather data and deploy them under cooperation with telecom infrastructure. To relieve the bottleneck of transmitting large volumes of unstructured data by using data centres, Du et al, () proposed a novel strategy for creating an efficient and low‐latency‐distributed message delivery system with operational connected vehicles applications.…”

Section: Review Of Previous Work and Analysismentioning

confidence: 99%

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

Zhu

Zhang

et al. 2019

Geoscience Data Journal

View full text Add to dashboard Cite

Crowdsourcing has significantly motivated the development of meteorological services. Starting from the beginning of 2010s and highly motivating after 2014, crowdsourcing-driven meteorological services have evolved from a single collection and observation of data to the systematic acquisition, analysis and application of these data. In this review, by focusing on papers and databases that have combined crowdsourcing methods to promote or implement meteorological knowledge services, we analysed the relevant literature in three dimensions: data collection, information analysis and meteorological knowledge applications. First, we selected the potential data sources for crowdsourcing and discussed the characteristics of the collected data in four dimensions: consciousness, objectiveness, mobility and multidisciplinary.Second, based on the purpose of these studies and the extent of utilizing data as well as knowledge, we categorize the crowdsourcing-based meteorological analysis into three levels: relationship discovery, knowledge generalization and systemized service. Third, according to the application scenario, we discussed the applications that have already been put into use, and we suggest current challenges and future research directions. These previous studies show that the use of crowdsourcing in social space can expand the coverage as well as enhance the performance of meteorological 62 | ZHU et al.

show abstract

Exploring Human Computer Interaction in Industry 4.0

Vishwarupe,

Joshi,

Maheshwari

et al. 2023

Signals and Communication Technology

View full text Add to dashboard Cite

Zone specific weather monitoring system using crowdsourcing and telecom infrastructure

Cited by 8 publications

References 5 publications

Crowdsourcing Methods for Data Collection in Geophysics: State of the Art, Issues, and Future Directions

Crowdsourcing Methods for Data Collection in Geophysics: State of the Art, Issues, and Future Directions

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

Exploring Human Computer Interaction in Industry 4.0

Contact Info

Product

Resources

About