Mobile Computing and Applications

A special issue of Journal of Sensor and Actuator Networks (ISSN 2224-2708).

Deadline for manuscript submissions: closed (31 January 2016)

Special Issue Editors


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Guest Editor
College of Automation, Beijing Institute of Technology, Beijing, China
Interests: mobile computing; wireless networking

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Guest Editor
The Center for Advanced Computer Studies, University of Louisiana at Lafayette, P.O. Box 44330, Lafayette, LA 70504, USA
Interests: mobile computing; wireless networking

Special Issue Information

Dear Colleagues,

Mobile computing is an emerging field that brings in a paradigm shift in computer systems and networks, aiming to create ambient intelligence where network devices embedded in the environment provide nomadic connectivity and services all the time, thus improving human experience and quality of life without explicit awareness of the underlying communications and computing technologies. This Special Issue focuses on key technical issues related to theories, architectures, algorithm/protocol design and analysis, applications, and emerging technologies in mobile computing.
This Special Issue solicits original contributions in, but not limited to, the following topics:

  • Design, implementation, and performance evaluation of mobile systems and applications
  • Mobile ad hoc sensor networks
  • Mobile crowd sensing platforms, applications, and incentive mechanisms
  • Mobile cyber physical systems
  • Mobile opportunistic networks
  • Mobile social networks
  • Modeling, simulation/emulation, and measurement of mobile computing systems
  • Next generation wireless technologies and related protocols and systems
  • Protocols and algorithms to cope with mobility, limited bandwidth, limited power and/or intermittent connectivity
  • Quality of service in mobile or wireless networks
  • Radio frequency identification (RFID) systems and Internet of Things
  • Theories of mobile computing and wireless networking
  • Vehicular networks

Dr. Yang Liu
Dr. Hongyi Wu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Sensor and Actuator Networks is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (1 paper)

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Research

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Article
Lesson Learned from Collecting Quantified Self Information via Mobile and Wearable Devices
by Reza Rawassizadeh, Elaheh Momeni, Chelsea Dobbins, Pejman Mirza-Babaei and Ramin Rahnamoun
J. Sens. Actuator Netw. 2015, 4(4), 315-335; https://doi.org/10.3390/jsan4040315 - 05 Nov 2015
Cited by 36 | Viewed by 11016
Abstract
The ubiquity and affordability of mobile and wearable devices has enabled us to continually and digitally record our daily life activities. Consequently, we are seeing the growth of data collection experiments in several scientific disciplines. Although these have yielded promising results, mobile and [...] Read more.
The ubiquity and affordability of mobile and wearable devices has enabled us to continually and digitally record our daily life activities. Consequently, we are seeing the growth of data collection experiments in several scientific disciplines. Although these have yielded promising results, mobile and wearable data collection experiments are often restricted to a specific configuration that has been designed for a unique study goal. These approaches do not address all the real-world challenges of “continuous data collection” systems. As a result, there have been few discussions or reports about such issues that are faced when “implementing these platforms” in a practical situation. To address this, we have summarized our technical and user-centric findings from three lifelogging and Quantified Self data collection studies, which we have conducted in real-world settings, for both smartphones and smartwatches. In addition to (i) privacy and (ii) battery related issues; based on our findings we recommend further works to consider (iii) implementing multivariate reflection of the data; (iv) resolving the uncertainty and data loss; and (v) consider to minimize the manual intervention required by users. These findings have provided insights that can be used as a guideline for further Quantified Self or lifelogging studies. Full article
(This article belongs to the Special Issue Mobile Computing and Applications)
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