Relevant bibliographies by topics / Mobile citizen sensing

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Mobile citizen sensing'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Mobile citizen sensing"

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Batsaikhan, Anudari, Stephan Hachinger, Wolfgang Kurtz, Helmut Heller, and Anton Frank. "Application of Modern Web Technologies to the Citizen Science Project BAYSICS on Climate Research and Science Communication." Sustainability 12, no. 18 (2020): 7748. http://dx.doi.org/10.3390/su12187748.

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Participatory sensing has become an important element in citizen science projects. Information and communication technologies (ICTs) such as web platforms and mobile phones can generate high-resolution data for science and progress assessment of the United Nations Sustainable Development Goals (e.g., SDGs 11, 13, and 15). This paper gives an overview of web technologies in citizen science and illustrates how these technologies were applied in the citizen science project BAYSICS (Bavarian Citizen Science Information Platform for Climate Research and Science Communication) in Bavaria, in the sou
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Musaev, Aibek, Pezhman Sheinidashtegol, Elizabeth Conrad, and Shamkant B. Navathe. "Mining Twitter Data for Landslide Events Reported Worldwide." International Journal of Information Systems for Crisis Response and Management 10, no. 4 (2018): 47–64. http://dx.doi.org/10.4018/ijiscram.2018100103.

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The explosion of user generated content in social media published from mobile devices has led to the concept known as “citizen sensing.” Although English has been adopted by many as a de facto standard international language, reports about events, such as disasters, are frequently provided by citizens in their local language in addition to English. Attempting to integrate citizen reports from many languages is a significant challenge. This article describes the tools that address this challenge to enable the support of citizen-sensing of landslide events reported worldwide. Multilingual suppor
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Moreira, Waldir, and Paulo Mendes. "Pervasive data sharing as an enabler for mobile citizen sensing systems." IEEE Communications Magazine 53, no. 10 (2015): 164–70. http://dx.doi.org/10.1109/mcom.2015.7295479.

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Michalitsi-Psarrou, Ariadni, Iason Lazaros Papageorgiou, Christos Ntanos, and John Psarras. "Agent-Based Simulation to Measure the Effectiveness of Citizen Sensing Applications—The Case of Missing Children." Applied Sciences 11, no. 14 (2021): 6530. http://dx.doi.org/10.3390/app11146530.

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Citizen sensing applications need to have a number of users defined that ensures their effectiveness. This is not a straightforward task because neither the relationship between the size of the userbase or its effectiveness is easily quantified, nor is it clear which threshold for the number of users would make the application ‘effective’. This paper presents an approach for estimating the number of users needed for location-based crowdsourcing applications to work successfully, depending on the use case, the circumstances, and the criteria of success. It circumvents various issues, ethical or
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Brovelli, Maria Antonia, Candan Eylül Kilsedar, and Francesco Frassinelli. "Mobile Tools for Community Scientists." Abstracts of the ICA 1 (July 15, 2019): 1–3. http://dx.doi.org/10.5194/ica-abs-1-30-2019.

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<p><strong>Abstract.</strong> While public participation in scientific achievements has a long history, the last decades have seen more attention and an impressive increase in the number of involved people. Citizen science, the term used for denoting such an attitude, is a very diverse practice, encompassing various forms, depths, and aims of collaboration between scientists and citizen researchers and a broad range of scientific disciplines. Different classifications of citizen science projects exist based on the degrees of influence and contributions of citizens. Haklay, Ma
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Ottaviano, Beltrán-Jaunsarás, Teriús-Padrón, et al. "Empowering Citizens through Perceptual Sensing of Urban Environmental and Health Data Following a Participative Citizen Science Approach." Sensors 19, no. 13 (2019): 2940. http://dx.doi.org/10.3390/s19132940.

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The growth of the urban population together with a high concentration of air pollution have important health impacts on citizens who are exposed to them, causing serious risks of the development and evolution of different chronic diseases. This paper presents the design and development of a novel participatory citizen science-based application and data ecosystem model. These developments are imperative and scientifically designed to gather and process perceptual sensing of urban, environmental, and health data. This data acquisition approach allows citizens to gather and generate environment-
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Sanjaya, I. Made Ariya, Suhono Harso Supangkat, Jaka Sembiring, and Widya Liana Aji. "Incentive mechanism design for citizen reporting application using Stackelberg game." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 2 (2022): 2147. http://dx.doi.org/10.11591/ijece.v12i2.pp2147-2157.

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<p>The growing utilization of smartphones equipped with various sensors to collect and analyze information around us highlights a paradigm called mobile crowdsensing. To motivate citizens’ participation in crowdsensing and compensate them for their resources, it is necessary to incentivize the participants for their sensing service. There are several studies that used the Stackelberg game to model the incentive mechanism, however, those studies did not include a budget constraint for limited budget case. Another challenge is to optimize crowdsourcer (government) profit in conducting crow
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I, Made Ariya Sanjaya, Harso Supangkat Suhono, Sembiring Jaka, and Liana Aji Widya. "Incentive mechanism design for citizen reporting application using Stackelberg game." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 2 (2022): 2147–57. https://doi.org/10.11591/ijece.v12i2.pp2147-2157.

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The growing utilization of smartphones equipped with various sensors to collect and analyze information around us highlights a paradigm called mobile crowdsensing. To motivate citizens’ participation in crowdsensing and compensate them for their resources, it is necessary to incentivize the participants for their sensing service. There are several studies that used the Stackelberg game to model the incentive mechanism, however, those studies did not include a budget constraint for limited budget case. Another challenge is to optimize crowdsourcer (government) profit in conducting crowdse
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Leao, Simone, and Parisa Izadpahani. "Factors Motivating Citizen Engagement in Mobile Sensing: Insights from a Survey of Non-Participants." Journal of Urban Technology 23, no. 4 (2016): 85–103. http://dx.doi.org/10.1080/10630732.2016.1175824.

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Sebillo, Monica, Giuliana Vitiello, Michele Grimaldi, and Antonio De Piano. "A Citizen-Centric Approach for the Improvement of Territorial Services Management." ISPRS International Journal of Geo-Information 9, no. 4 (2020): 223. http://dx.doi.org/10.3390/ijgi9040223.

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In the last decade, there has been a growing awareness that the involvement of citizens in decision making can produce an immediate and positive impact on actions to be taken, as they are the real owners of knowledge about the place where they live. By collecting and geolocating data through smartphones and the Internet, citizens in fact can help decision makers both create sharable spatio-temporal information about objects and phenomena and interpret territorial dynamics. However, although such a role has been definitely recognized, the lack of a homogeneous paradigm for structuring the sensi
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Dissertations / Theses on the topic "Mobile citizen sensing"

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Chen, Yuanfang. "Mobile collaborative sensing : framework and algorithm design." Thesis, Evry, Institut national des télécommunications, 2017. http://www.theses.fr/2017TELE0016/document.

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De nos jours, il y a une demande croissante pour fournir de l'information temps réel à partir de l'environnement, e.g. état infectieux de maladies, force du signal, conditions de circulation, qualité de l'air. La prolifération des dispositifs de capteurs et la mobilité des personnes font de la Mobile Collaborative Sensing (MCS) un moyen efficace de détecter et collecter l'information à un faible coût. Dans MCS, au lieu de déployer des capteurs statiques dans une zone, les personnes disposant d'appareils mobiles jouent le rôle de capteurs mobiles. En général, une application MCS exige que l'app
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Chen, Yuanfang. "Mobile collaborative sensing : framework and algorithm design." Electronic Thesis or Diss., Evry, Institut national des télécommunications, 2017. http://www.theses.fr/2017TELE0016.

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De nos jours, il y a une demande croissante pour fournir de l'information temps réel à partir de l'environnement, e.g. état infectieux de maladies, force du signal, conditions de circulation, qualité de l'air. La prolifération des dispositifs de capteurs et la mobilité des personnes font de la Mobile Collaborative Sensing (MCS) un moyen efficace de détecter et collecter l'information à un faible coût. Dans MCS, au lieu de déployer des capteurs statiques dans une zone, les personnes disposant d'appareils mobiles jouent le rôle de capteurs mobiles. En général, une application MCS exige que l'app
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Resende, Ítalo Raphael Amador. "Uma Abordagem para Sensoriamento Urbano Preliminar Usando Coletores de Dados." Universidade Federal da Paraíba, 2016. http://tede.biblioteca.ufpb.br:8080/handle/tede/9261.

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Submitted by Fernando Souza (fernandoafsou@gmail.com) on 2017-08-15T14:38:05Z No. of bitstreams: 1 arquivototal.pdf: 1777278 bytes, checksum: 2196e7f609f737e29db2451204418d72 (MD5)<br>Made available in DSpace on 2017-08-15T14:38:05Z (GMT). No. of bitstreams: 1 arquivototal.pdf: 1777278 bytes, checksum: 2196e7f609f737e29db2451204418d72 (MD5) Previous issue date: 2016-09-23<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES<br>This study suggests the use of a approach to initial urban sensing, in the context of intelligent cities, by data collectors. The approaches curr
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Books on the topic "Mobile citizen sensing"

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Kerrache, Chaker Abdelaziz, Yesin Sahraoui, Carlos T. Calafate, and Anna Maria Vegni, eds. Mobile Crowdsensing and Remote Sensing in Smart Cities. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-72732-0.

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Book chapters on the topic "Mobile citizen sensing"

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Yin, Junjun, Yizhao Gao, and Shaowen Wang. "CyberGIS-Enabled Urban Sensing from Volunteered Citizen Participation Using Mobile Devices." In Springer Geography. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40902-3_5.

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Chowdhury, Chandreyee, and Sarbani Roy. "Mobile Crowd-Sensing for Smart Cities." In Smart Cities. John Wiley & Sons, Inc., 2017. http://dx.doi.org/10.1002/9781119226444.ch5.

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Charvát, Karel, and Michal Kepka. "Crowdsourced Data." In Big Data in Bioeconomy. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71069-9_5.

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AbstractCrowdsourcing together with Volunteered Geographic Information (VGI) are currently part of a broader concept – Citizens Science. The methods provide information on existing geospatial data or is a part of data collection from geolocated devices. They enable opening parts of scientific work to the general public. DataBio Crowdsourcing Solution is a combination of the SensLog server platform and HSLayers web and mobile applications. SensLog is a server system for managing sensor data, volunteered geographic information and other geospatial data. Web and mobile applications are used to co
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Tony Santhosh, G. "Mobile Crowdsensing and Remote Sensing in Smart Cities: An Introduction." In Internet of Things. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-72732-0_1.

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Melchiorri, Michele, Patrizia Sulis, Paola Proietti, Marcello Schiavina, and Alice Siragusa. "Integration of Remote and Social Sensing Data Reveals Uneven Quality of Broadband Connectivity Across World Cities." In Urban Inequalities from Space. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-49183-2_2.

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AbstractUrbanisation and digitalisation are two of the megatrends characterising contemporary human society. Digital broadband access is an essential enabler, and despite its large growth potential, it can differ across territories. Taking a comparative approach from a global perspective, this chapter studies the relationship between urbanisation and digitalisation by looking at the quality of broadband access in urban centres using geospatial data processing. It is based on a combination of open and free data sourced from earth observation (Copernicus and Landsat programmes) to map and classi
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Gallo, Jason. "From CCTV to Biometrics through Mobile Surveillance." In Mobile Computing. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-054-7.ch090.

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Surveillance is the act or process of observing, tracking, or recording personal details for the purpose of exercising control over the individual or population being watched. Control in this context can mean many things, from directly influencing the behavior of the observed to the use of gathered information for the purpose of management or governance. Mobile surveillance can be defined as two distinct, yet related, practices. The first is the ability to observe the physical movement of an individual through space. This is most often accomplished through documenting their interaction with a
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Ishigaki, Yo, and Kenji Tanaka. "Smartphone Solutions for Citizen-Centered Risk Monitoring in Environmental Disaster Situations." In Digital Services in Crisis, Disaster, and Emergency Situations. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-6705-0.ch001.

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Through an analysis of three case studies, this chapter proposes a new kind of democratic risk communication that can be realized through environmental sensing by citizens with smartphones, and considers the challenges involved. The three case studies, which the authors have implemented in the society, are as follows: (1) The Pocket Geiger (Pokéga) is a radiation sensor for citizens developed immediately after the Fukushima nuclear accident. More than 100,000 Pokéga units have been produced under an open source license. (2) The Unreal iSOTOPE is a mobile simulator developed for training Japane
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Gallo, Jason. "From CCTV to Biometrics through Mobile Surveillance." In Information Security and Ethics. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-937-3.ch079.

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Surveillance is the act or process of observing, tracking, or recording personal details for the purpose of exercising control over the individual or population being watched. Control in this context can mean many things, from directly influencing the behavior of the observed to the use of gathered information for the purpose of management or governance. Mobile surveillance can be defined as two distinct, yet related, practices. The first is the ability to observe the physical movement of an individual through space. This is most often accomplished through documenting their interaction with a
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Mukherjee, Tridib, Deepthi Chander, Sharanya Eswaran, and Koustuv Dasgupta. "Participatory Sensing for City-Scale Applications." In Mobile Application Development, Usability, and Security. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0945-5.ch010.

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The rapid advancements in sensing, computation and communications have led to the proliferation of smart phones. People-centric sensing is a scientific paradigm which empowers citizens with sensor-embedded smartphones, to contribute to micro and macro-scale urban sensing applications – either implicitly (in an opportunistic manner) or explicitly (in a participatory manner). Community-based urban sensing applications, are typically participatory in nature. For instance, commuters reporting on a transit overload may explicitly need to provide an input through an app to report on the overload. Th
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Islam, Md Tariqul. "International Higher Education Students' Inclusion and Exclusion as Global Citizens." In Advances in Educational Marketing, Administration, and Leadership. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-2802-6.ch010.

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Physically mobile international students undergo a complex experience and practice responsibilities as global citizens. In this context, numerous studies have expressed the importance of discovering their ways of sensing and engaging with mobile lives in the host society. Following a qualitative research approach, this chapter discusses the experiences of 18 physically mobile Bangladeshi international students in Australian society as global citizens. It portrays young students' economic and moral uncertainties, hopes, and inclusion and exclusion tensions in a neoliberal globalized society tha
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Conference papers on the topic "Mobile citizen sensing"

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Liu, Mengci, Peter Hall, Stella Doukianou, and Anna Troisi. "CEDAR: An Augmented Reality Mobile Application Using a Participatory Design Framework for Citizen Science Data Sensing." In 2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE). IEEE, 2024. https://doi.org/10.1109/metroxraine62247.2024.10795936.

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Cai, Yang, Kaytee Pokrzywinski, Richard Stumpf, Shuheng Cao, and Kevin Do. "Mobile Vision for Citizen Science." In 16th International Conference on Applied Human Factors and Ergonomics (AHFE 2025). AHFE International, 2025. https://doi.org/10.54941/ahfe1006655.

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Rapidly growing mobile phone sensing and computing capacities create wonderful opportunities for environment monitoring and data analysis. Mobile vision combines digital cameras and machine vision algorithms on phone platforms for particular visual data analysis. We explore the phone "microscopy" with real-time machine vision computing and dynamic visual updating functions. We developed a semantic description of the shape and dynamics of the toxic algae Karenia Brevis, collected by phone that both humans and machines can understand. We also explore the system architecture of the mobile vision
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Konomi, Shin'ichi, Tomoyo Sasao, Masatoshi Arikawa, and Hideyuki Fujita. "A mobile phone-based exploratory citizen sensing environment." In UbiComp '13: The 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing. ACM, 2013. http://dx.doi.org/10.1145/2494091.2496000.

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Crowley, David N., John G. Breslin, Peter Corcoran, and Karen Young. "Gamification of citizen sensing through mobile social reporting." In 2012 IEEE International Games Innovation Conference (IGIC). IEEE, 2012. http://dx.doi.org/10.1109/igic.2012.6329849.

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Galeazzo, Daniel Aurelio, Daniele De Vecchi, Fabio Dell'Acqua, and Pietro Demattei. "A small step towards the citizen sensor: A multi-purpose framework for mobile apps." In IGARSS 2015 - 2015 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2015. http://dx.doi.org/10.1109/igarss.2015.7326025.

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Minkman, E., P. J. van Overloop, and M. C. A. van der Sanden. "Citizen Science in Water Quality Monitoring: Mobile Crowd Sensing for Water Management in the Netherlands." In World Environmental and Water Resources Congress 2015. American Society of Civil Engineers, 2015. http://dx.doi.org/10.1061/9780784479162.138.

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Vent, Kaisa. "The advantages of passive mobile positioning as a type of community sensing for analyzing space-time behaviour of a citizen." In UbiComp '13: The 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing. ACM, 2013. http://dx.doi.org/10.1145/2494091.2499214.

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Melo, Paulo César F., and Fábio M. Costa. "Model-Driven Mobile CrowdSensing for Smart Cities." In I Workshop Brasileiro de Cidades Inteligentes. Sociedade Brasileira de Computação - SBC, 2018. http://dx.doi.org/10.5753/wbci.2018.3226.

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Making cities smarter can help improve city services, optimize resource and infrastructure utilization and increase quality of life. Smart Cities connect citizens in novel ways by leveraging the latest advances in information and communication technologies (ICT). The integration of rich sensing capabilities in today's mobile devices allows their users to actively participate in sensing the environment. In Mobile CrowdSensing (MCS) citizens of a Smart City collect, share and jointly use services based on sensed data. The main challenges for smart cities regarding MCS is the heterogeneity of dev
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Ayu, Vittalis. "Revisiting Mobile Crowdsensing: An Open Challenge." In 3rd International Conference on Machine Learning & Applications (CMLA 2021). Academy and Industry Research Collaboration Center (AIRCC), 2021. http://dx.doi.org/10.5121/csit.2021.111509.

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Mobile crowdsensing has become a new paradigm that enables citizens to participate in the sensing process by voluntarily gathering data from their smartphones to accomplish some given task. However, performing the sensing task generate lots of data resulting in various quality of the sensed data and high sensing cost in term of resource consumption. This matter became a significant concern in mobile crowdsensing as the mobile nodes which act as crowd sensors have limited resources. Moreover, an opportunistic mobile crowdsensing mechanism does not require user involvement, so the data collectio
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Al Shami, Ahmad, Weisi Guo, and Yimin Wang. "Mobile Sensing of Human Sunlight Exposure in Cities." In Qatar Foundation Annual Research Conference Proceedings. Hamad bin Khalifa University Press (HBKU Press), 2016. http://dx.doi.org/10.5339/qfarc.2016.ictpp1583.

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