Machine Learning for Indoor Localization

Dear Colleagues,

A functional indoor positioning system (IPS) is key to delivering location-based services, ambient assisted living, human–computer interaction, asset tracking, etc. in GPS denied environments, e.g., inside buildings. While considerable progress has been made in the field of indoor localization, there are still no widely adopted solutions. Machine learning (ML) techniques present an opportunity to address the challenges facing the discipline through data-driven solutions. This Special Issue aims to publish original, novel works that apply machine learning and computational intelligence techniques for indoor localization. The scope encompasses RF/wireless and non-RF sensing modalities and active and passive/device-free localization. Comprehensive review papers that discuss the state of the art and outline research challenges and opportunities are also welcome.

Dr. Fakhrul Alam
Prof. Dr. Weiliang Xu
Prof. Dr. Joarder Kamruzzaman
Dr. Daniel Konings
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 250 words) can be sent to the Editorial Office for assessment.

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. Sensors 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 2600 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.