Special Issue "Sustainable Data Usage for Predicting Consumer Behaviour"

Dear Colleagues,

Mobility makes up an important part of consumer behavior, as many services are still physical, and mobility is necessary to reach them. Mobility data generated particularly via mobile phones are enormous, and there are potentially many applications at the same time generating such potentially redundant data and storing them in the cloud. While data transfer consumes energy, data also need to process, and many applications utilizing techniques such as machine learning are also computationally intensive.

Sustainability in terms of data usage may be improved in a number of ways, such as adapting the data collection rate based on the application, edge computing, or simply using computationally more efficient analysis methods or green computing. While these aspects have started to attract more attention recently, there is still a lot of room for improvement.

You may find general information on mobility data in [1], while References [2–5] give examples of different approaches for dealing with mobility data.

[1] N. Pelekis, Y. Theodoridis, Mobility Data Management and Exploration, Springer.

[2] M. Bagheri, M. Siekkinen, JK Nurminen, Cellular-based vehicle to pedestrian (V2P) adaptive communication for collision avoidance, Proc. 2014 ICCVE, 450-456.

[3] Zi Wang; Zhiwei Zhao; Geyong Min; Xinyuan Huang; Qiang Ni; Rong Wang, User mobility aware task assignment for Mobile Edge Computing, Future Generation Computer Systems, ISSN: 0167-739X, Vol: 85, Page: 1-8

[4] W. Hou, Z. Ning and L. Guo, "Green Survivable Collaborative Edge Computing in Smart Cities," in IEEE Transactions on Industrial Informatics, vol. 14, no. 4, pp. 1594-1605, April 2018, doi: 10.1109/TII.2018.2797922.

[5] Qi, Bozhao, Lei Kang, and Suman Banerjee. "A vehicle-based edge computing platform for transit and human mobility analytics." Proceedings of the Second ACM/IEEE Symposium on Edge Computing. 2017.

Prof. Jyrki Nummenmaa
Guest Editor

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 papers will be 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. Sustainability 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 1900 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.

• mobility data
• transportation
• traffic
• machine learning
• sustainability