Mobile and Social Sensing

  in Special Issue   Posted on August 3, 2019

Information for the Special Issue

Submission Deadline: Wed 30 Oct 2019
Journal Impact Factor : 2.349
Journal Name : Pervasive and Mobile Computing
Journal Publisher:
Website for the Special Issue: https://www.journals.elsevier.com/pervasive-and-mobile-computing/call-for-papers/special-issue-on-mobile-and-social-sensing
Journal & Submission Website: https://www.journals.elsevier.com/pervasive-and-mobile-computing

Special Issue Call for Papers:

The ubiquity of smart phones together with the popularity of social media heralds an era of mobile and social sensing. Mobile and social sensing is becoming a paradigm for collecting observations of the physical phenomena, either directly from human observers, or by means of crowd-sourcing the data measurement tasks using sensors in the smart phones or various other wearables (e.g., Google Glass, Apple Watch, and Fitbit devices). It thus involves massive amount of sensory data collection and/or dissemination where humans can act as sensor carriers (e.g., carrying GPS sensors that share location data), sensor operators (e.g., taking pictures and videos with smart phones), or as sensors themselves (e.g., sharing their observations on social media). This emerging field faces new challenges in data collection, dissemination, fusion, and mining; cognitive modeling; computational social and behavior science; information and coding theory; information processing and knowledge discovery; data dissemination and forwarding, reliability, privacy, and security; and cyber-physical-systems with human-in/on-the-loop. This special issue invites technical papers on both theoretical contributions and systems describing original ideas, exciting results, and real-world experiences in the context of mobile and social sensing.

This special issue will focus on (but not be limited to) the following topics:

  • Mobile, ubiquitous, and pervasive sensing
  • Social sensing and social networks as sensor networks
  • Crowd/participatory and opportunistic sensing
  • Rural sensing
  • Urban sensing and smart city
  • Reliability, privacy, and security in mobile and social sensing
  • Sensing unstructured data in mobile/social domain
  • Modeling, analysis, fusion, and mining of social and mobile sensing data
  • Theory, algorithms, systems, and experiments pertaining to mobile/social sensing
  • Ubiquitous, mobile, and pervasive information processing and knowledge discovery
  • Mobile and Social Sensing Applications (i.e., Internet of Social Things, Internet of Social Vehicles)
  • Data mining in Mobile and Social Sensing

Submission Guidelines:

Manuscripts must not have been previously published nor currently under review by other journals or conferences. Papers previously published in conference proceedings are eligible for submission if the submitted manuscript is a substantial revision and extension of the conference version. In this case, authors should indicate the previous publication(s) in the cover letter and explain the enhancements made in the journal version. The published conference article(s) are also required to be submitted together with the journal version. The submission website for this journal is located at https://www.evise.com/profile/#/PMC/login. Please select “VSI:Mobile&SocialSensing\” when you reach the \”Article Type\” step in the submission process. To ensure that all manuscripts are correctly identified, for consideration by the special issue, the authors should indicate in the cover letter that the manuscript has been submitted for the special issue on Mobile and Social Sensing.

Timetable:

Submission deadline: October 30, 2019

First notification: February 30, 2020

Final notification: May 01, 2020

Guest editors:

Abusayeed Saifullah (saifullah@wayne.edu), Wayne State University

Anna Maria Vegni (annamaria.vegni@uniroma3.it), Roma Tre University

Haibo Zhang (haibo@cs.otago.ac.nz), University of Otago

Editor-in-Chief:

Sajal K. Das, Missouri University of Science and Technology

Editor-in-Chief Special Content:

Marco Conti, National Research Council of Italy (CNR)

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