Localization and Tracking for Internet of Things

Dear Colleagues,

Recently, the Internet of Things (IoT) has played a critical role in the rapid development of cyber-physical social systems (CPSS) for smart cities. Yet, the sensory data provided by IoT devices is only useful with the provision of their either exact or semantic locations, which results in many interesting and important research challenges regarding how to localize and/or track IoT devices. On the one hand, for enabling localization, diverse devices have been integrated into the IoT (for example, sensor nodes and smartphones), such as cameras (visible light, LED, and infrared), wireless transceivers (4G/5G, Wi-Fi, Bluetooth, ultra-wide band), as well as internal sensors (for example, barometers, gyroscope, and magnetometer). On the other hand, localization requirements could be quite different for different application scenarios, such as outdoors/indoors and stationary/moving situations. How to adopt suitable techniques and design advanced algorithms to provide location and tracking services for a wide range of applications has been investigated and researched in recent years.

This Special Issue aims to provide opportunities and platforms for researchers to exchange their recent developments on the “Localization and Tracking for Internet of Things”. Topics may include, but are not limited to, ranging techniques, range-based/range-free localization, passive/device-free localization, fingerprinting-based localization, vision-based localization, collaborative localization, target positioning and tracking, pedestrian dead reckoning, signal processing/machine learning for localization and navigation, information fusion for localization, and security and privacy issues in localization. Reviews and surveys are also welcome for submission to this Special Issue. 

Prof. Dr. Bang Wang
Dr. Tony T. Luo
Dr. Di He
Dr. Zhi Cai 
Guest Editors

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