Sezaki & Nishiyama Laboratory
Institute of Industrial Science / Center for Spatial Information Science in The University of Tokyo
Institute of Industrial Science / Center for Spatial Information Science in The University of Tokyo
Yuichi Nakamura, Masaki Ito, Kaoru Sezaki
Optimal Mobility Control of Sensors in the Event of a Disaster Journal Article Open Access
In: Journal of Disaster Research, 14 (3), pp. 500-507, 2019.
Abstract | BibTeX | タグ: active sensing, disaster prevention, participatory sensing | Links:
@article{YuichiNakamura2019,
title = {Optimal Mobility Control of Sensors in the Event of a Disaster},
author = {Yuichi Nakamura and Masaki Ito and Kaoru Sezaki},
doi = {10.20965/jdr.2019.p0500},
year = {2019},
date = {2019-01-01},
journal = {Journal of Disaster Research},
volume = {14},
number = {3},
pages = {500-507},
abstract = {Disasters have caused serious damage on human beings throughout their long history. In a major natural disaster such as an earthquake, a key to mitigate the damage is evacuation. Evidently, secondary collateral disasters is account for more casualty than the initial one. In order to have citizens to evacuate safely for the sake of saving their lives, collecting information is vital. However at times of a disaster, it is a difficult task to gain environmental information about the area by conventional way. One of the solutions to this problem is crowd-sensing, which regards citizens as sensors nodes and collect information with their help. We considered a way of controlling the mobility of such sensor nodes under limitation of its mobility, caused by road blockage, for example. Aiming to make a mobility control scheme that enables high-quality information collection, our method uses preceding result of the measurement to control the mobility. Here it uses kriging variance to do that. We evaluated this method by simulating some measurements and it showed better accuracy than baseline. This is expected to be a method to enable a higher-quality input to the agent-based evacuation simulation, which helps to guide people to evacuate more safely.},
keywords = {active sensing, disaster prevention, participatory sensing},
pubstate = {published},
tppubtype = {article}
}
Kaoru Sezaki, Shiníchi Konomi, Masaki Ito
User Participatory Sensing for Disaster Detection and Mitigation Journal Article
In: Journal of Disaster Research, 11 , pp. 207-216, 2016.
Abstract | BibTeX | タグ: citizen science, Mobile sensing, participatory sensing | Links:
@article{articlej,
title = {User Participatory Sensing for Disaster Detection and Mitigation},
author = {Kaoru Sezaki and Shiníchi Konomi and Masaki Ito},
doi = {10.20965/jdr.2016.p0207},
year = {2016},
date = {2016-01-01},
issuetitle = {Special Issue on Disaster and Big Data},
journal = {Journal of Disaster Research},
volume = {11},
pages = {207-216},
abstract = {Rapid growth in communication bandwidth has enabled novel uses of mobile wireless technologies in areas such as smartphone-based user participatory sensing for disaster detection and mitigation. In this manuscript, we discuss novel approaches to resolve fundamental problems that currently hamper the effective utilization of user participatory sensing in this critical application domain. Our approaches to address major challenges related to energy efficiency, collaboration, privacy, ease of deployment, and robustness of communication can be integrated with external systems in a complementary manner to overcome the limitations of current disaster detection and mitigation systems that rely on expensive stationary devices.},
keywords = {citizen science, Mobile sensing, participatory sensing},
pubstate = {published},
tppubtype = {article}
}