User Participatory Sensing for Disaster Detection and Mitigation in Urban Environments

Konomi, Shin’ichi; Wakasa, Kazuki; Ito, Masaki; Sezaki, Kaoru

doi:10.1007/978-3-319-39862-4_42

Cited by 3 publications

(10 citation statements)

References 11 publications

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“…Regarding locating people in disasters, Kristalina et al [104] used the least squares method to improve the generalized geometric triangulation scheme, which allows sensors to track the position of rescuers or victims. Similarly, Konomi et al [105] proposed a cooperative location inference mechanism to locate the sensors automatically. And they developed a user-participatory sensing environment that allows people to collect position data from sensors.…”

Section: Analysis and Applications Of Sensor Datamentioning

confidence: 99%

“…Thus, we need to collect data from various heterogeneous sensors. Konomi, Wakasa, Ito and Sezaki [105] proposed a novel multi-factor cost model to integrate the multi-modal sensor data consistently and flexibly. Li et al [106] introduced a semi-automated role mapping process for dynamic cross-domain accesses of sensors in post-disaster relief to solve heterogeneity and protect sensitive information.…”

Section: Analysis and Applications Of Sensor Datamentioning

confidence: 99%

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Sensors on the Internet of Things Systems for Urban Disaster Management: A Systematic Literature Review

Zeng,

Pang,

Tang

2023

Sensors

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The occurrence of disasters has the potential to impede the progress of sustainable urban development. For instance, it has the potential to result in significant human casualties and substantial economic repercussions. Sustainable cities, as outlined in the United Nations Sustainable Development Goal 12, prioritize the objective of disaster risk reduction. According to the Gesi Smarter 2030, the Internet of Things (IoT) assumes a pivotal role in the context of smart cities, particularly in domains including smart grids, smart waste management, and smart transportation. IoT has emerged as a crucial facilitator for the management of disasters, contributing to the development of cities that are both resilient and sustainable. This systematic literature analysis seeks to demonstrate the sensors utilized in IoT for the purpose of urban catastrophe management. The review encompasses both the pre-disaster and post-disaster stages, drawing from a total of 72 articles. During each stage, we presented the characteristics of sensors employed in IoT. Additionally, we engaged in a discourse regarding the various communication technologies and protocols that can be utilized for the purpose of transmitting the data obtained from sensors. Furthermore, we have demonstrated the methodology for analyzing and implementing the data within the application layer of IoT. In conclusion, this study addresses the existing research deficiencies within the literature and presents potential avenues for future exploration in the realm of IoT-enabled urban catastrophe management, drawing upon the findings of the evaluated publications.

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Section: Analysis and Applications Of Sensor Datamentioning

confidence: 99%

Section: Analysis and Applications Of Sensor Datamentioning

confidence: 99%

Sensors on the Internet of Things Systems for Urban Disaster Management: A Systematic Literature Review

Zeng,

Pang,

Tang

2023

Sensors

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“…In this day and age, participatory sensing has a strong advantage due to the proliferation of smartphone users and advanced built-in smartphone sensors, which enable large-scale and diverse deployments (e.g. environmental [1], [2], disasters [3], [4] and traffic monitoring [5], [6]).…”

Section: Introductionmentioning

confidence: 99%

Hardened Registration Process for Participatory Sensing

Borsub

Papadimitratos

2018

Proceedings of the 11th ACM Conference on Security &Amp; Privacy in Wireless and Mobile Networks

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I would like to give special thanks to my examiner, Panos Papadimitratos, and my supervisor, Hongyu Jin, for all their support be it understanding, suggestions or guidance during all the phases of this work from the beginning until the end of the work. I would also like to thank people in Networked Systems Security Group at KTH who gave me commends and ideas to improve my work. Last but not least, I would like to thank Tattaton Mettaphun, Boonyakiat Rungsiwothinan, Wichapong Kua-Arun, Surapat Somsri, Nonthawun Junsrisuk, my family and my girlfriend who supported me during my endeavour of studying. Without their support, my Master's degree could not have been successfully completed.

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“…Outro trabalho que utiliza Smartphones para detectar e reduzir os danos causados por desastres em geral é apresentado em Konomi et al (2016). Outra vez, o consumo de bateria dos Smartphones é considerado um problema, porém é tratado através do uso do acelerômetro de 3-eixos, que auxilia o procedimento de Bluetooth beacon para localizar pessoas.…”

Section: Trabalhos Relacionadosunclassified

“…Outra vez, o consumo de bateria dos Smartphones é considerado um problema, porém é tratado através do uso do acelerômetro de 3-eixos, que auxilia o procedimento de Bluetooth beacon para localizar pessoas. Além disso, a arquitetura de Konomi et al (2016) não se limita à localização de pessoas após desastres, mas também prevê o envio de rotas de fuga calculadas dinamicamente para pedestres, baseadas em diferentes informações, incluindo imagens de câmeras. Apesar de se limitar a apresentar a arquitetura proposta e não apresentar dados ou resultados, algo interessante de ser notado é que o sistema também se originou de uma RSSF, assim como o trabalho desenvolvido nesta tese.…”

Section: Trabalhos Relacionadosunclassified

Uma abordagem tolerante a falhas para a previsão de desastres naturais baseada em IoT e aprendizado de máquina

Furquim¹

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Ao meu Filho, Miguel Furquim Benincasa, por ter cedido seu tempo com o pai para que este trabalho fosse concluído. Você merece todo meu tempo, carinho e amor e, agora, vai tê-los de volta.À Micheli de Oliveira Chicaroni, apesar de pouco tempo, que parece voar ao seu lado, você se tornou uma pessoa muito especial na minha vida. Obrigado por todo o suporte e compreensão. Você fez minha volta fazer sentido. Te amo! Aos meus amigos e companheiros do Intermídia e

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User Participatory Sensing for Disaster Detection and Mitigation in Urban Environments

Cited by 3 publications

References 11 publications

Sensors on the Internet of Things Systems for Urban Disaster Management: A Systematic Literature Review

Sensors on the Internet of Things Systems for Urban Disaster Management: A Systematic Literature Review

Hardened Registration Process for Participatory Sensing

Uma abordagem tolerante a falhas para a previsão de desastres naturais baseada em IoT e aprendizado de máquina

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