Smart Systems and Wireless Sensor Networks for Localization

Dear Colleagues,

We are pleased to invite you to contribute to a new Special Issue on “Smart Systems and Wireless Sensor Networks for Localization”, hosted by the MDPI journal Sensors. Smart systems and wireless sensor networks are widely used in various applications: smart cities, self-driving cars, industrial 4.0 environments, telemedicine, personal safety, etc. In all these applications, it becomes essential to know the position of these smart systems as accurately as possible to optimize the operating of systems and algorithms fed by such data, as well as to improve the performance of data analysis and data fusion techniques. In this context, the development of localization and positioning measurement techniques (for both indoor and/or outdoor applications) has a primary role, and a wide variety of commercial solutions are available. Nevertheless, the capability to achieve highly accurate performance, minimal energy budget and low overall architecture costs remains a challenge, and solutions are still on the way. Nowadays, many technologies are key enablers to obtain position estimation, but their correct employment and integration with purpose-related devices and communication mechanisms can follow a further optimization process, especially considering measurement-related issues and data processing techniques. In this framework, this Special Issue aims to gather efforts from scholars to obtain integrated solutions, focusing the attention on the localization task, making use of classical low-cost technologies, such as Bluetooth, Zigbee, and Wi-Fi to cite a few, but also considering the latest promising communication mechanisms, such as LoRA, LTE, or 5G cellular networks. Particular attention should be paid to the capability of the proposed solution to obtain accuracy levels equal to or better than state-of-the-art localization techniques by keeping a low computational burden and energy consumption values, and to achieve two goals: i) the development of intelligent solutions able to reduce hardware and software resources demanding; ii) keeping the mechanisms in a non-invasive condition with respect to the Earth climate change phenomenon by enabling green technologies and solutions.

All original contributions on the described topics are welcome, and the Guest Editors would be pleased to consider them and manage suitable consequent peer-review processes.

Prof. Dr. Luigi Ferrigno
Prof. Dr. Domenico Capriglione
Dr. Chiara Carissimo
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. 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.

• localization
• measurement technologies and techniques
• ranging techniques
• positioning
• real-time operating
• internet of things (IoT)
• smart sensors
• artificial intelligence
• data fusion
• energy harvesting in localization