Recent Advances in Indoor Localization: A Survey on Theoretical Approaches and Applications
By Ali Yassin, Youssef Nasser, Mariette Awad, Ahmed Yassin Al-Dubai, Ran Liu, Chau Yuen, Ronald Raulefs, Elias Aboutanios. 2017
844 citations recorded by the source corpus.
The availability of location information has become a key factor in today’s communications systems allowing location based services. In outdoor scenarios, the mobile terminal position is obtained with high accuracy thanks to the global positioning system (GPS) or to the standalone cellular systems. However, the main problem of GPS and cellular systems resides in the indoor environment and in scenarios with deep shadowing effects where the satellite or cellular signals are broken. In this paper, we survey different technologies and methodologies for indoor and outdoor localization with an emphasis on indoor methodologies and concepts. Additionally, we discuss in this review different localization-based applications, where the location information is critical to estimate. Finally, a comprehensive discussion of the challenges in terms of accuracy, cost, complexity, security, scalability, etc. is given. The aim of this survey is to provide a comprehensive overview of existing efforts as well as auspicious and anticipated dimensions for future work in indoor localization techniques and applications.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Ocean Engineering
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Billy Pik Lik Lau
- Chau Yuen
- Carlo Fischione
- Petros Spachos
- Yuan Shen
- Yuren Zhou
- Meng Zhang
- Adriano J. C. Moreira
In Electrical and Electronic Engineering
- Billy Pik Lik Lau
- U-Xuan Tan
- Yuren Zhou
- Meng Zhang
- Naveed Ul L. Hassan
- Marakkalage Sumudu Hasala
- Chau Yuen
- Tri-Nhut Do
In Ocean Engineering
- Chau Yuen
- Carlo Fischione
- Petros Spachos
- Yuan Shen
- Liying Fan
- Adriano J. C. Moreira
- Junhai Luo
- Lauri Wirola
Citations in the corpus
- A survey of data fusion in smart city applications (2019, methodology): “The data collection technologies used for these approaches mainly include Wi-Fi (WLAN), inertial measurement unit (IMU), RFID tags, Bluetooth, global system for mobile communications (GSM), frequency modulation (FM), and ultra-wide band (UWB) [185], [186].”
- RSSI-Based Indoor Localization With the Internet of Things (2018, background): “Designing an indoor localization system has many uses in a variety of areas [11], [12].”
- A Survey on Fundamental Limits of Integrated Sensing and Communication (2021, background): “There are many survey papers for traditional sensing technologies, including radar sensing [21], wireless localization [22], [23], [24], [25], WiFi and mobile sensing [26], [27], [28], among which only a few works have discussed the fundamental limits of traditional sensing.”
- Understanding the Lifestyle of Older Population: Mobile Crowdsensing Approach (2019, background): “To name a few, proactive environment change for elderly [12], real-time cloud-based activity tracking [13] to help remotely monitor the older adults at home [14], and radio frequency identification-based location tracking to ensure the safety of older adults in smart homes [15].”
- Cooperative relative positioning of mobile users by fusing IMU inertial and UWB ranging information (2017, background): “But the accuracy of RSS-based approach is limited since characterizing radio propagation in an environment is challenging due to severe multipath and numerous site-specific parameters.”
- A Survey of Enabling Technologies for Network Localization, Tracking, and Navigation (2018, methodology): “In [11], challenges and pitfalls of each localization system based on radio frequency and inertial sensors were analyzed, and the authors explored recent applications of learning algorithms to localization.”
- Indoor Positioning Systems Based on Visible Light Communication: State of the Art (2017, background): “A lot of surveys of IPS can be found [27]–[30].”