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المؤلفEl Khatib, Rawan F.
المؤلفZorba, Nizar
المؤلفHassanein, Hossam S.
تاريخ الإتاحة2024-07-14T07:57:24Z
تاريخ النشر2019
اسم المنشورProceedings - IEEE Global Communications Conference, GLOBECOM
المصدرScopus
المعرّفhttp://dx.doi.org/10.1109/GLOBECOM38437.2019.9013852
الرقم المعياري الدولي للكتاب23340983
معرّف المصادر الموحدhttp://hdl.handle.net/10576/56638
الملخصThe 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.
راعي المشروعACKNOWLEDGMENT 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.
اللغةen
الناشرInstitution of Engineering and Technology
الموضوعRisk 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
العنوانCrowdsensing based prompt emergency discovery: A sequential detection approach
النوعConference Paper
dc.accessType Abstract Only


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