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    ARTICLE

    An Intelligent Cluster Verification Model Using WSN to Avoid Close Proximity and Control Outbreak of Pandemic in a Massive Crowd

    Naeem Ahmed Nawaz1, Norah Saleh Alghamdi2,*, Hanen Karamti2, Mohammad Ayoub Khan3

    CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.2, pp. 327-350, 2022, DOI:10.32604/cmes.2022.020791

    Abstract Assemblage at public places for religious or sports events has become an integral part of our lives. These gatherings pose a challenge at places where fast crowd verification with social distancing (SD) is required, especially during a pandemic. Presently, verification of crowds is carried out in the form of a queue that increases waiting time resulting in congestion, stampede, and the spread of diseases. This article proposes a cluster verification model (CVM) using a wireless sensor network (WSN), single cluster approach (SCA), and split cluster approach (SpCA) to solve the aforementioned problem for pandemic cases. We show that SD, cluster… More >

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