MTA 2016 - Special Issue on Mobile Traffic Analytics

Computer Communications
http://www.journals.elsevier.com/computer-communic...
Special Issue on Mobile Traffic Analytics
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+ Scope
Mobile traffic analytics enable the study of the movement and service
consumption of mobile subscribers at large scales. The rise of mobile
traffic analytics is fostered by an unprecedented availability of data,
collected by mobile operators through probes deployed at the access and
core networks, or gathered by dedicated research initiatives via monitoring
apps running on users’ smartphones. Both approaches can harvest information
about large populations, from hundreds to millions individuals, over long
time periods, from weeks to years. The richness of mobile traffic datasets
is paramount to research in a wide range of disciplines, including, e.g.,
sociology, transportations, statistical physics, epidemiology, and ? of
course ? networking. However, several technical challenges need to be
tackled to release the full potential of such data sources, including the
assessment of statistical robustness of inferred knowledge, the overcoming
of scalability issues, and the consideration for data access limitations
imposed by privacy regulations that tend to reduce data usability.
The aim of this Special Issue is to gather contributions presenting
state-of-the-art research dealing with all facets of mobile traffic analytics.
We expect submissions to present quantitative evaluations carried out on
substantial real-world datasets of mobile traffic. Here, we intend the term
"traffic" in its wider acceptation. We thus invite works on data collected
via, e.g., Call Detail Records (CDR), access (RNC) and core (MSC, GGSN/PGW)
network probes, or smartphone monitoring apps; data can be limited to
mobility patterns, it can concern traditional user-to-user mobile services
(i.e., calling and texting), it can focus on the mobile data traffic demand
(at any granularity, from throughput volumes to the precise services and
protocols employed), or it can contain any combination of such information
types.
We especially encourage the submission of interdisciplinary research works
at the interface between networking and disciplines such as those mentioned
above. Special attention will be deserved to findings and results that have
practical applications in terms of technological innovation, sustainable
development, data and network management, and mobile services. Topics of
interest include, but are not limited to:
- Original (open) mobile traffic datasets
- Preparation and management of mobile traffic datasets
- Generative models for synthetic mobile traffic datasets
- Algorithms, structures, and (visual) tools for mobile traffic analysis
- Privacy and security issues in mobile traffic analysis, and countermeasures
- Inference of social features and mobility patterns from mobile traffic
- Profiling of mobile device and mobile users from mobile traffic
- Characterization of the mobile subscriber demand from mobile traffic
- Comparison of mobile traffic features across cities, regions, and countries
- Mobile traffic analytics for Intelligent Transportation Systems
- Mobile traffic analytics for cognitive and anticipatory networking
- Mobile access and core network enhancements from mobile traffic analysis
- Mobile traffic analytics for device-to-device and opportunistic communication
- Mobile service marketing strategies from mobile traffic analysis
+ Schedule
Manuscript submission deadline: October 16, 2015
First notification: January 22, 2016
Submission of revised paper: March 11, 2016
Notification of acceptance: April 16, 2016
+ Guest Editors
Marco Fiore, CNR ? IEIIT (marco.fiore-AT-ieiit.cnr.it)
M. Zubair Shafiq, University of Iowa (zubair-shafiq-AT-uiowa.edu)
Zbigniew Smoreda, Orange Labs ? SENSe (zbigniew.smoreda-AT-orange.com)
Razvan Stanica, INSA Lyon / Inria (razvan.stanica-AT-insa-lyon.fr)
Roberto Trasarti, CNR ? ISTI (roberto.trasarti-AT-isti.cnr.it)
+ Instructions for submission
The submission website for this journal is located at http://ees.elsevier.com/comcom. To ensure that all manuscripts are correctly identified for inclusion into the Special Issue, the authors have to select "SI Mobile Traffic Analytics" when they reach the "Article Type" step in the submission process.