WSN based sensing model for smart crowd movement with identification: a conceptual model

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 causes crowd at public plac...

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Main Authors:	Nawaz, Naeem A., Waqas, Ahmad, Muhammed Yusof, Zulkefli, Shah, Asadullah
Format:	Conference or Workshop Item
Language:	English English
Published:	IADIS Press 2016
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/56000/ http://irep.iium.edu.my/56000/1/MCCSIS%202016%20Conference%20paper.xps http://irep.iium.edu.my/56000/2/56000_full%20procedings.pdf

id	iium-56000
recordtype	eprints
spelling	iium-560002018-01-04T02:23:13Z http://irep.iium.edu.my/56000/ WSN based sensing model for smart crowd movement with identification: a conceptual model Nawaz, Naeem A. Waqas, Ahmad Muhammed Yusof, Zulkefli Shah, Asadullah QA75 Electronic computers. Computer science 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 causes 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, the 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 causes unwanted increment in processing time. It is observed that managing crowd during specific time period (Hajj and Ummrah) with identification and verification is a 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 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. The group identification minimizes the processing time and move the crowd in smart way. IADIS Press 2016 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/56000/1/MCCSIS%202016%20Conference%20paper.xps application/pdf en http://irep.iium.edu.my/56000/2/56000_full%20procedings.pdf Nawaz, Naeem A. and Waqas, Ahmad and Muhammed Yusof, Zulkefli and Shah, Asadullah (2016) WSN based sensing model for smart crowd movement with identification: a conceptual model. In: Multi Conference on Computer Science And Information Systems 2016, 1-4Jul 2016, Portugal.
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Nawaz, Naeem A. Waqas, Ahmad Muhammed Yusof, Zulkefli Shah, Asadullah WSN based sensing model for smart crowd movement with identification: a conceptual model
description	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 causes 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, the 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 causes unwanted increment in processing time. It is observed that managing crowd during specific time period (Hajj and Ummrah) with identification and verification is a 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 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. The group identification minimizes the processing time and move the crowd in smart way.
format	Conference or Workshop Item
author	Nawaz, Naeem A. Waqas, Ahmad Muhammed Yusof, Zulkefli Shah, Asadullah
author_facet	Nawaz, Naeem A. Waqas, Ahmad Muhammed Yusof, Zulkefli Shah, Asadullah
author_sort	Nawaz, Naeem A.
title	WSN based sensing model for smart crowd movement with identification: a conceptual model
title_short	WSN based sensing model for smart crowd movement with identification: a conceptual model
title_full	WSN based sensing model for smart crowd movement with identification: a conceptual model
title_fullStr	WSN based sensing model for smart crowd movement with identification: a conceptual model
title_full_unstemmed	WSN based sensing model for smart crowd movement with identification: a conceptual model
title_sort	wsn based sensing model for smart crowd movement with identification: a conceptual model
publisher	IADIS Press
publishDate	2016
url	http://irep.iium.edu.my/56000/ http://irep.iium.edu.my/56000/1/MCCSIS%202016%20Conference%20paper.xps http://irep.iium.edu.my/56000/2/56000_full%20procedings.pdf
first_indexed	2023-09-18T21:19:02Z
last_indexed	2023-09-18T21:19:02Z
_version_	1777411756692340736

WSN based sensing model for smart crowd movement with identification: a conceptual model

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