Call for Papers

Recent efforts in the research and industry communities are aimed at realizing the Smart City, a term utilized for a city that exploits its distributed computing and communication infrastructure in order to sense, aggregate, process, discern and act upon various data, with the objective of bettering the management of the city’s various sector (e.g., health, education, weather, business, etc.). Traditional efforts have sought the application of Wireless Sensor Network (WSNs) and RFID tags, as well as processing of sparsely distributed feeds (e.g., public and private live CCTV) in order to do the monitoring and processing. An expanded consideration for the Internet of Things (IoT) applications in smart cities has been explored with emphasis on facilitating high-density sensor and actuator deployment. Such an evolution yielded powerful architectures for enabling smart cities. Fundamental issues, however, abound in the high cost of deployment and maintenance, especially when attempting to smarten an existing city infrastructure. Such serious restraints make the aforementioned advanced technologies fully viable and attractive for new cities/districts, but reduces their applicability in the dominant transitional scenarios. Comprehensive and scalable crowd management infrastructures are required to overcome the economic and technical constraints of state-of-the-art conceptualizations and implementations, while maintaining both practical and commercial appeals.

This Feature Topic (FT), motivated by the latest advances in crowd management, will tackle outstanding contributions that deal with state-of-the-art setups, techniques, methodologies, designs and actual deployment of crowd management solutions. Researchers and engineers from academia and industry are invited to submit their recent results and innovations. The list of topics includes, but not restricted to, the following:

• Data aggregation and analytics for Mobile Crowd Management.
• Data filtering for crowdsourced information.
• Reputation Scores for Crowd Management through crowdsourcing.
• Crowd inference and classification.
• Trust and privacy in crowd management.
• Optimization of crowd management systems
• Incentive mechanisms for crowdsourcing
• Prediction approaches in Mobile Crowd Management.
• Mobile crowd management quality indicators (Quality of Source, measurements uncertainty, etc.).
• Network and computing infrastructures for crowd management.
• Geo-positioning schemes for crowd management.
• Smart City indicators inference and classification.
• Crowd management in emergency and disruptive scenarios.
• Infrastructure inference and classification and behavior characterization.
• Testbeds and real measurements of infrastructures for crowd management in Smart Cities.

Submission Guidelines

Manuscripts should conform to the standard format as indicated in the Information for Authors section of the Manuscript Submission Guidelines.

All manuscripts to be considered for publication must be submitted by the deadline through Manuscript Central. Select the "March 2019/Smart Infrastructures for Crowd Management" topic from the drop-down menu of Topic/Series titles.

Important Dates

Manuscript Submission Deadline: August 1, 2018
Decision Notification: December 1, 2018
Final Manuscript Due: January 15, 2019
Publication Date: March 2019

Guest Editors

Hossam Hassanein (Lead)
Queen’s University, Canada

Nizar Zorba
Qatar University, Qatar

Shuai Han
Harbin Institute of Technology, China

Salil Kanhere
University of New South Wales, Australia

Mutaz Shukair
Qualcomm, USA