Saša Pešić
Miloš Radovanović
ABSTRACT
A geofence is a virtual perimeter for a real-world positioning area. Geo-fencing involves a location-aware device of a location-based service user or asset entering or exiting a virtual area. Rather than geofences being static, in indoor positioning systems they need to be dynamically updated, frequently, efficiently and on-demand. Furthermore, the underlying geofencing framework must work to incorporate the changes in the systemŠs operational context (signal obstruction, static and dynamic obstacles, etc.) and compensate for their influence on the location calculations. In this paper, we propose the Geofencing Micro-location Asset Tracking (GEMAT) framework for dynamic security geofencing management and notification/actuation based on the Bluetooth Low Energy Micro-location Asset Tracking (BLEMAT) IoT system. We show how an indoor geofencing framework that includes and compensates for contextual updates provides more functional geofencing capabilities, both in terms of precision and sophisticated use cases. We present the main functionalities of the geofencing framework and test them in a real-world IoT environment. Furthermore, we elaborate on a performance analysis model for geofencing frameworks with ten criteria defined. Conducted experiments and performance analysis show that the proposed GEMAT framework is a good candidate for solving problems in a wide range of indoor geofencing use cases.
- Google Android. 2019. User location services. https://developer.android.com/training/locationGoogle Scholar
- Robert L Brown and Robert R Harmon. 2014. Viral geofencing: an exploration of emerging big-data driven direct digital marketing services. In Proceedings of PICMET'14 Conference: Portland International Center for Management of Engineering and Technology; Infrastructure and Service Integration. IEEE, 3300--3308.Google Scholar
- Giuseppe Cardone, Andrea Cirri, Antonio Corradi, Luca Foschini, Raffaele Ian-niello, and Rebecca Montanari. 2014. Crowdsensing in urban areas for city-scale mass gathering management: Geofencing and activity recognition. IEEE Sensors Journal 14, 12 (2014), 4185--4195.Google ScholarCross Ref
- Giuseppe Cardone, Andrea Cirri, Antonio Corradi, Luca Foschini, Raffaele Ian-niello, and Rebecca Montanari. 2014. Crowdsensing in urban areas for city-scale mass gathering management: Geofencing and activity recognition. IEEE Sensors Journal 14, 12 (2014), 4185--4195.Google ScholarCross Ref
- Liang Chen, Sarang Thombre, Kimmo Järvinen, Elena Simona Lohan, Anette Alén-Savikko, Helena Leppäkoski, M Zahidul H Bhuiyan, Shakila Bu-Pasha, Giorgia Nunzia Ferrara, Salomon Honkala, et al. 2017. Robustness, security and privacy in location-based services for future IoT: A survey. IEEE Access 5 (2017), 8956--8977.Google ScholarCross Ref
- Young-Keun Choi, Sungkuk Cho, Sungkon Park, Young-Hyun Eom, Inhwan Kim, and Byungkook Jeon. 2018. An extended three-dimensional Geofence platform with rule-based context-awareness service for the internet of things. Journal of Engineering Technology 6, 1 (2018), 318--328.Google Scholar
- Michael Guldner, Torsten Spieldenner, and Ren'e Schubotz. 2018. NEXUS: Using Geo-fencing Services without revealing your Location. In 2018 Global Internet of Things Summit (GIoTS). IEEE, 1--6.Google Scholar
- Jad Helmy and Ahmed Helmy. 2016. The Alzimio App for Dementia, Autism & Alzheimer's: Using Novel Activity Recognition Algorithms and Geofencing. In 2016 IEEE International Conference on Smart Computing (SMARTCOMP). IEEE, 1--6.Google ScholarCross Ref
- Franklin Styne Iyadurai and Preethi Subramanian. 2016. Smartphones and the Disruptive Innovation of the Retail Shopping Experience. In 2016 International Conference on Disruptive Innovation.Google Scholar
- Shuo Liu, Le Yin, Weng Khuen Ho, Keck Voon Ling, and Stefano Schiavon. 2017. A tracking cooling fan using geofence and camera-based indoor localization. Building and Environment 114 (2017), 36--44.Google ScholarCross Ref
- Pamela J Ludford, Dan Frankowski, Ken Reily, Kurt Wilms, and Loren Terveen. 2006. Because I carry my cell phone anyway: functional location-based reminder applications. In Proceedings of the SIGCHI conference on Human Factors in computing systems. ACM, 889--898. Google ScholarDigital Library
- David Martin, Aurkene Alzua, and Carlos Lamsfus. 2011. A contextual geofencing mobile tourism service. In Information and communication technologies in tourism 2011. Springer, 191--202.Google Scholar
- Masafumi Nakagawa. 2013. Improvement in the geofencing service interface using indoor positioning systems and mobile sensors. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 4 (2013), W4.Google Scholar
- Dmitry Namiot and Manfred Sneps-Sneppe. 2013. Geofence and network proximity. In Internet of Things, Smart Spaces, and Next Generation Networking. Springer, 117--127.Google Scholar
- Julio C Navas and Tomasz Imielinski. 1997. GeoCastâĂŤgeographic addressing and routing. In Proceedings of the 3rd annual ACM/IEEE international conference on Mobile computing and networking. Citeseer, 66--76. Google ScholarDigital Library
- Rodrigo R Oliveira, Felipe C Noguez, Cristiano A Costa, Jorge L Barbosa, and Mario P Prado. 2013. SWTRACK: An intelligent model for cargo tracking based on off-the-shelf mobile devices. Expert Systems with Applications 40, 6 (2013), 2023--2031. Google ScholarDigital Library
- Charith Perera, Arkady Zaslavsky, Peter Christen, and Dimitrios Georgakopoulos. 2014. Context aware computing for the internet of things: A survey. IEEE communications surveys & tutorials 16, 1 (2014), 414--454.Google Scholar
- Saša Pešic, Milenko Tošic, Ognjen Ikovic, Miloš Radovanovic, Mirjana Ivanovic, and Dragan Boškovic. 2018. BLEMAT-Context Modeling and Machine Learning for Indoor Positioning Systems. (2018). submitted.Google Scholar
- Saša Pešić, Milenko Tošić, Ognjen Iković, Miloš Radovanović, Mirjana Ivanović, and Dragan Bošković. 2018. Bluetooth low energy microlocation asset tracking (blemat) in a context-aware fog computing system. In Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics. ACM, 23. Google ScholarDigital Library
- Mikko Rinne, Seppo Törmä, and D Kratinov. 2014. Mobile crowdsensing of parking space using geofencing and activity recognition. In 10th ITS European Congress, Helsinki, Finland. 16--19.Google Scholar
- Sandro Rodriguez Garzon and Bersant Deva. 2014. Geofencing 2.0: taking location-based notifications to the next level. In Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing. ACM, 921--932. Google ScholarDigital Library
- Lee A Schmidt and Lorenz Riegger. 2015. Moving geofence for machine tracking in agriculture. US Patent 9,066,464.Google Scholar
- Elaine Shi, HTH Chan, Eleanor Rieffel, Richard Chow, and Dawn Song. 2011. Privacy-preserving aggregation of time-series data. In Annual Network & Distributed System Security Symposium (NDSS). Internet Society.Google Scholar
- Ann Wempe and Robert Keefe. 2017. Characterizing rigging crew proximity to hazards on cable logging operations using GNSS-RF: Effect of GNSS positioning error on worker safety status. Forests 8, 10 (2017), 357.Google ScholarCross Ref
- Naoko Yoshida and Dinesh Manandhar. 2016. IMES White Paper. (2016).Google Scholar
Index Terms
- GEMAT - Internet of Things Solution for Indoor Security Geofencing
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