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

作     者：Naeem Ahmed Nawaz Norah Saleh Alghamdi Hanen Karamti Mohammad Ayoub Khan 

作者机构：Department of Computer ScienceUmm Al-Qura UniversityMakkah Al-Mukarmah24381Saudi Arabia Department of Computer SciencesCollege of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11671Saudi Arabia College of Computing and Information TechnologyUniversity of BishaBisha67714Saudi Arabia 

出 版 物：《Computer Modeling in Engineering & Sciences》 (工程与科学中的计算机建模（英文）)

年 卷 期：2022年第133卷第11期

页      面：327-350页

核心收录：

学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0701[理学-数学] 

基　　金：funded by the Deanship of Scientific Research at Princess Nourah Bint Abdulrahman University through the Research Funding Program(Grant No#.FRP-1442-20) 

主　　题：Cluster verification model wireless sensor network social distancing crowd single approach split approach 

摘      要：Assemblage at public places for religious or sports events has become an integral part of our *** gatherings pose a challenge at places where fast crowd verification with social distancing(SD)is required,especially during a ***,verification of crowds is carried out in the form of a queue that increases waiting time resulting in congestion,stampede,and the spread of *** 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 *** show that SD,cluster approaches,and verification by WSN can overcome the management issues by optimizing the cluster size and verification ***,our proposed method minimizes the chances of spreading diseases and stampedes in large events such as a *** consider the assembly points in the annual pilgrimage to Makkah Al-Mukarmah and Umrah for verification using Contiki/Cooja *** compute results such as verified cluster members(CMs)to define cluster size,success rate to determine the best success rate,and verification time to determine the optimal verification time for various *** validate ourmodel by comparing the results of each approach with the existing *** results showthat the SpCAwith SD is the best approach with a 96% success rate and optimization of verification time as compared to SCA with SD and the existing model.