Call for Papers:

With the rapid development of wireless communication and sensor technology, ubiquitous mobile devices equipped with increasingly rich sensors have more powerful computing and sensing abilities. Mobile crowdsensing (MCS), as a special form of crowdsourcing where communities contribute sensing information and human intelligence using mobile devices to form a body of knowledge, has received extensive attentions from both academia and industry. Various MCS applications come forth, such as indoor positioning, environment monitoring, and transportation, etc. MCS spans a wide spectrum of user involvement, from collecting sensor measurements with no user intervention to requiring active participation of mobile users. Despite the growing interest and some commercial success in MCS, MCS still faces significant challenges such as motivation and incentives, low data quality (incomplete data, noisy data, redundant data, etc.), privacy, security and data integrity, localized analytics, resource limitations, context-awareness, sensing resource management, aggregate analytics, and public safety, etc. This workshop aims to bring together researchers in the field of mobile crowdsensing to exchange ideas and advance the research frontier. We invite submissions in the following non-exclusive list of topics:

Topics of Interest (but not limited to):

• Mobile crowdsensing frameworks, platforms and systems
• Mobile crowdsensing applications and case study
• Mobile crowdsensing, participatory and opportunistic sensing and data collection
• Design and analysis of sensing scheduling algorithms in mobile crowdsensing
• Sensing resource management in mobile crowdsensing
• Mobile crowdsensing data communication and sharing
• Incentive mechanism and economic systems for mobile crowdsensing
• Distributed and parallel algorithms for processing big crowd sensed data in mobile crowdsensing
• Big crowd sensed data processing, storage and mining
• Machine learning and data mining algorithms and applications for sensed data in mobile crowdsensing
• Architecture and framework for management of crowd sensed data in mobile crowdsensing
• Human centric data management and analytics models in mobile crowdsensing
• Big data spatial-temporal analysis in mobile crowdsensing
• Data quality and pricing in mobile crowdsensing
• Security, data privacy preservation, and trust management in mobile crowdsensing
• Location and mobility prediction and inference
• Social networks in mobile crowdsensing
• Mobile crowdsensing with IoT for smart cities and ecology
• Novel mobile crowdsensing and human centric data management applications

Important Dates:

Paper Submission Deadline: September 27, 2019 (Anywhere on Earth)

Notification of Acceptance: October 8, 2019

Camera-ready Version: October 15, 2019 (Firm Deadline)

Submission Guidelines:

Papers must be submitted via EasyChair in the following link: https://easychair.org/conferences/?conf=mcssa2019

Submitted papers should be written in the English language, with a maximum page limit of 6 printed pages, including all the figures, references and appendices, and not published or under review elsewhere. Papers longer than 6 pages will not be reviewed. Use the standard IEEE Conference templates for Microsoft Word or LaTeX formats found at: https://www.ieee.org/conferences/publishing/templates.html.

Regardless of the source of your paper formatting, you must submit your paper in the Adobe PDF format. The paper must print clearly and legibly, including all the figures, on standard black-and-white printers. Reviewers are not required to read your paper in color.

If the paper is typeset in LaTeX:

• Please use an unmodified version of the LaTeX template IEEEtran.cls version 1.8, and use the preamble: \documentclass[10pt, conference, letterpaper]{IEEEtran}.
• Do not use additional LaTeX commands or packages to override and change the default typesetting choices in the template, including line spacing, font sizes, margins, space between the columns, and font types. This implies that the manuscript must use 10 point Times font, two-column formatting, as well as all default margins and line spacing requirements as dictated by the original version of IEEEtran.cls version 1.8.
• If you are using Microsoft Word to format your paper

You should use an unmodified version of the Microsoft Word IEEE Transactions template (US letter size).

More information and template downloads can be found at the IEEE MASS main page.