WSN BASED SENSING MODEL FOR SMART CROWD MOVEMENT WITH IDENTIFICATION: AN EXTENDED STUDY

With the advancement of IT and increase in world population rate, Crowd Management (CM) has become a subject undergoing intense study among researchers. Technology provides fast and easily available means of transport and, up-to-date information access to the people that cause crowd at public places. This imposes a big challenge for crowd safety and security at public places such as airports, railway stations and check points. For example, crowd of pilgrims during Hajj and Ummrah while crossing the borders of Makkah, Kingdom of Saudi Arabia. To minimize the risk of such crowd safety and security, identification and verification of people is necessary which caused unwanted increment in processing time. It is observed that managing crowd during specific time period (Hajj and Ummrah) with identification and verification became challenge. At present, many advanced technologies such as Internet of Things (IoT) are being used to solve the crowed management problem with minimal processing time. In this paper, we have presented a Wireless Sensor Network (WSN) based conceptual model for smart crowd movement with optimal verification of cluster members (CMs) and leads to minimal processing time for people identification. This handles the crowd by forming groups and provides proactive support to handle them in organized manner. As a result, crowd can be managed to move safely from one place to another with group identification. By controlling the drop rate or unverified CMs rate, the performance of the smart movement can be increased. This decrease or control of the drop rate will also minimize the processing time and move the crowd in smart way.