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AuthorEl Khatib, Rawan F.
AuthorZorba, Nizar
AuthorHassanein, Hossam S.
Available date2024-07-14T07:57:24Z
Publication Date2019
Publication NameProceedings - IEEE Global Communications Conference, GLOBECOM
ResourceScopus
Identifierhttp://dx.doi.org/10.1109/GLOBECOM38437.2019.9013852
ISSN23340983
URIhttp://hdl.handle.net/10576/56638
AbstractThe growth in the number of smart devices has mobilized the rise of CrowdSensing (CS) as an enabler of smart cities, where state-of-the-art technologies are utilized to improve citizens' quality of life. CS is a novel sensing paradigm that leverages data collected from smart devices to support a wide range of services. Particularly, smart emergency management systems are attracting increasing attention due to their potential to save lives, as they accelerate the delivery of emergency services including detection, mitigation and recovery. In this paper, we study the problem of the detection of an abnormal change in a monitored sensory variable, where the change is suggestive of an emergency situation. Specifically, we formulate our problem as a sequential change-point detection problem, where the underlying distribution of the variable changes at an unknown time. Our aim is to detect the change-point with minimal delay, subject to certain performance constraints. We utilize Shiryaev's optimal solution in two variants of the problem depending on the mobility behaviour of the participants, and conduct simulation experiments to show the performance of our schemes.
SponsorACKNOWLEDGMENT This work was made possible by NPRP grant NPRP 9-185-2-096 from the Qatar National Research Fund (a member of The Qatar Foundation). The statements made herein are solely the responsibility of the authors.
Languageen
PublisherInstitution of Engineering and Technology
SubjectRisk management
Abnormal change
Change-point detection problems
Detection approach
Emergency management systems
Emergency situation
Quality of life
Sequential changes
Sequential detection
Smart devices
State-of-the-art technology
Emergency services
TitleCrowdsensing based prompt emergency discovery: A sequential detection approach
TypeConference Paper
dc.accessType Abstract Only


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