Mobile crowd sensing in space weather monitoring: the mahali project

Pankratius, Victor; Lind, Frank D.; Coster, A. J.; Erickson, P. J.; Semeter, J. L.

doi:10.1109/mcom.2014.6871665

Cited by 52 publications

(36 citation statements)

References 11 publications

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“…Although various attempts have been made in the past to survey and exploit the benefits of crowdsourcing and citizen science on Earth and Satellite Observations [33,53], to our knowledge, this is the first time where a variety of stakeholders have been involved in providing their views and opinions on their perception of the current and future state of the field. Hence, the study was aimed at being an exploratory one, with a few open-ended questions to gauge stakeholder perception, and a few categorical questions aimed at understanding expected timelines for the adoption of crowdsourcing/citizen science methodologies.…”

Section: Methodsmentioning

confidence: 99%

“…The notion of exploiting crowdsourcing in scientific and space applications as means for data collection, distributed problem solving and eventually, close collaboration has gained recent traction, more so with the increasing means for citizen participation [33]. The Geo-Wiki Project [34] serves as an excellent testament to this by engaging online volunteers in validation of global land cover maps based on their observations in Google Earth as well as local knowledge.…”

Section: Citizen Science and Earth Observationsmentioning

confidence: 99%

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Citizen Science and Crowdsourcing for Earth Observations: An Analysis of Stakeholder Opinions on the Present and Future

2017

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Abstract:The impact of Crowdsourcing and citizen science activities on academia, businesses, governance and society has been enormous. This is more prevalent today with citizens and communities collaborating with organizations, businesses and authorities to contribute in a variety of manners, starting from mere data providers to being key stakeholders in various decision-making processes. The "Crowdsourcing for observations from Satellites" project is a recently concluded study supported by demonstration projects funded by European Space Agency (ESA). The objective of the project was to investigate the different facets of how crowdsourcing and citizen science impact upon the validation, use and enhancement of Observations from Satellites (OS) products and services. This paper presents our findings in a stakeholder analysis activity involving participants who are experts in crowdsourcing, citizen science for Earth Observations. The activity identified three critical areas that needs attention by the community as well as provides suggestions to potentially help in addressing some of the challenges identified.

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Section: Methodsmentioning

confidence: 99%

Section: Citizen Science and Earth Observationsmentioning

confidence: 99%

Citizen Science and Crowdsourcing for Earth Observations: An Analysis of Stakeholder Opinions on the Present and Future

2017

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“…There are several recent research works for city-scale environment map generation [8]- [11]. These works focus on framework issues, such as scalability, real-time service, and energy efficiency, and have developed prototypes of temperature-, humidity-, and noise-maps.…”

Section: Related Workmentioning

confidence: 99%

“…However, as the number of newly produced devices containing embedded sensors, such as mobile phones and wearable devices, continues to rise, [3]- [8], it has become possible to acquire measured data from locations that have not yet been covered by national organizational infrastructure. The term mobile crowdsensing (MCS) [6]- [11] represents such a sensing paradigm, where individuals with sensing and computing devices collectively share information to measure and map phenomena of common interest. MCS is a good way to acquire considerable quantities of accurate information at little cost (in terms of maintenance overhead).…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Sensor Calibration Scheme for Mobile Crowdsensing-based City-Scale Environmental Measurements

Son¹,

Lee²,

Ko³

et al. 2016

ETRI J

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In this paper, we propose a hybrid sensor calibration scheme for mobile crowdsensing applications. As the number of newly produced mobile devices containing embedded sensors continues to rise, the potential to use mobile devices as a sensor data source increases. However, because mobile device sensors are generally of a lower performance and cost than dedicated sensors, sensor calibration is crucial. To enable more accurate measurements of natural phenomena through the use of mobile device sensors, we propose a hybrid sensor calibration scheme for such sensors; the scheme makes use of mobile device sensors and existing sensing infrastructure, such as weather stations, to obtain dense data. Simulation results show that the proposed scheme supports low mean square errors. As a practical application of our proposed scheme, we built a temperature map of a city using six mobile phone sensors and six reference sensors. Thanks to the mobility of the sensors and the proposed scheme, our map presents more detailed information than infrastructure-based measurements.

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“…Many MCS applications have been developed and are used for environment monitoring [2,4], infrastructure monitoring [3,10,11], qualityof-experience analysis [8,9], surface perception [5], and public safety [7]. In parallel to MCS applications, there are some studies aiming at improving the energy-efficiency in MCS [32,33].…”

Section: Introductionmentioning

confidence: 99%

A Survey on Security, Privacy, and Trust in Mobile Crowdsourcing

Feng

Yan

Zhang

et al. 2018

IEEE Internet Things J.

117

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Abstract-With the popularity of sensor-rich mobile devices (e.g., smart phones and wearable devices), Mobile Crowdsourcing (MCS) has emerged as an effective method for data collection and processing. Compared with traditional Wireless Sensor Networking (WSN), MCS holds many advantages such as mobility, scalability, cost-efficiency, and human intelligence. However, MCS still faces many challenges with regard to security, privacy and trust. This paper provides a survey of these challenges and discusses potential solutions. We analyze the characteristics of MCS, identify its security threats, and outline essential requirements on a secure, privacy-preserving and trustworthy MCS system. Further, we review existing solutions based on these requirements and compare their pros and cons. Finally, we point out open issues and propose some future research directions.

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Mobile crowd sensing in space weather monitoring: the mahali project

Cited by 52 publications

References 11 publications

Citizen Science and Crowdsourcing for Earth Observations: An Analysis of Stakeholder Opinions on the Present and Future

Citizen Science and Crowdsourcing for Earth Observations: An Analysis of Stakeholder Opinions on the Present and Future

A Hybrid Sensor Calibration Scheme for Mobile Crowdsensing-based City-Scale Environmental Measurements

A Survey on Security, Privacy, and Trust in Mobile Crowdsourcing

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