Usability of open-source hardware based platform for indoor positioning systems

The application of indoor location systems (also known as indoor positioning systems, IPS) has significantly increased in the past decade. Those systems find their role in the broad range of possible implementations, especially in the applications in the area of resource management and location tracking. Their applications can be in safety management, material, construction, and inventory management. Since, those systems are designed for indoor and closed areas where GPS, GLONASS, and other navigation systems are not applicable, a different approach should be used to determine the location. This paper presents a brief overview of indoor localization technologies and methods. The focus of this paper is on RSSI based methods for positioning. The contribution of this paper is in analyses of usability of platforms built on Arduino/Genuino development boards and similar devices and open-source hardware for usage in RSSI based indoor positioning systems. The presented platform is designed and evaluated with the two experiments, with two different technologies.

[1]  Jing Liu,et al.  Survey of Wireless Indoor Positioning Techniques and Systems , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[2]  Zhiliang Ma,et al.  Construction quality management based on a collaborative system using BIM and indoor positioning , 2018, Automation in Construction.

[3]  Kevin Curran,et al.  A survey of active and passive indoor localisation systems , 2012, Comput. Commun..

[4]  Ramón F. Brena,et al.  Evolution of Indoor Positioning Technologies: A Survey , 2017, J. Sensors.

[5]  Won-Suk Jang,et al.  Localization Technique for Automated Tracking of Construction Materials Utilizing Combined RF and Ultrasound Sensor Interfaces , 2007 .

[6]  Kimio Oguchi,et al.  Human Positioning Estimation Method Using Received Signal Strength Indicator (RSSI) in a Wireless Sensor Network , 2014, FNC/MobiSPC.

[7]  Shunzhi Zhu,et al.  Wireless Localization Based on RSSI Fingerprint Feature Vector , 2015, Int. J. Distributed Sens. Networks.

[8]  Nattha Jindapetch,et al.  Implementation and test of an RSSI-based indoor target localization system: Human movement effects on the accuracy , 2019, Measurement.

[9]  Mu-Wook Pyeon,et al.  Application of WiFi-based indoor positioning system for labor tracking at construction sites: A case study in Guangzhou MTR , 2011 .

[10]  Shen Xiao-fen Application of WiFi- based Real-time Positioning Technology in the Museum , 2015 .

[11]  Christine Julien,et al.  Comparative evaluation of Received Signal-Strength Index (RSSI) based indoor localization techniques for construction jobsites , 2011, Adv. Eng. Informatics.

[12]  Andreas Mitschele-Thiel,et al.  Comparison of Anchor Selection algorithms for improvement of position estimation during the Wi-Fi localization process in disaster scenario , 2012, 37th Annual IEEE Conference on Local Computer Networks.

[13]  Lianlin Zhao,et al.  A real-time RFID localization experiment using propagation models , 2012, 2012 IEEE International Conference on RFID (RFID).

[14]  Xing Su,et al.  A Boundary Condition-Based Algorithm for Locating Construction Site Objects Using RFID and GPS , 2012 .

[15]  Dalibor Dobrilovic,et al.  Methodology for Bluetooth Low Energy Performance Analyses Based on Open-source Hardware , 2018, AIIT 2018.

[16]  Aníbal Ollero,et al.  Efficient integration of RSSI for tracking using Wireless Camera Networks , 2017, Inf. Fusion.

[17]  Koen Langendoen,et al.  Distributed localization in wireless sensor networks: a quantitative compariso , 2003, Comput. Networks.

[18]  Thomas Kunz,et al.  Localization in Wireless Sensor Networks and Anchor Placement , 2012, J. Sens. Actuator Networks.

[19]  Brian D. O. Anderson,et al.  Wireless sensor network localization techniques , 2007, Comput. Networks.

[20]  K. V. S. Rao,et al.  Phase based spatial identification of UHF RFID tags , 2010, 2010 IEEE International Conference on RFID (IEEE RFID 2010).

[21]  Ralf Lehnert,et al.  Extended Min-Max algorithm for position estimation in sensor networks , 2012, 2012 9th Workshop on Positioning, Navigation and Communication.

[22]  Milica D. Jovanovic,et al.  Fuzzy ring-overlapping range-free (FRORF) localization method for wireless sensor networks , 2012, Comput. Commun..

[23]  Daniel Hoffman,et al.  Range-free sensor localisation with ring overlapping based on comparison of received signal strength indicator , 2007, Int. J. Sens. Networks.

[24]  Shih-Hau Fang,et al.  An Enhanced ZigBee Indoor Positioning System With an Ensemble Approach , 2012, IEEE Communications Letters.

[25]  Jianping Pan,et al.  Robust Range-Free Localization in Wireless Sensor Networks , 2007, Mob. Networks Appl..

[26]  Filip Maly,et al.  Improving Indoor Localization Using Bluetooth Low Energy Beacons , 2016, Mob. Inf. Syst..