Abstract
Development of urban areas has created a need for stable, reliable and cost-efficient indoor GPS systems based on regularly available technologies. Such systems already exist and are in use. This paper proposes such a system with an emphasis on ease of use, long-term reliability or maintenance free through network redundancy techniques as well as an open-source architecture. The proposed architecture uses a Bluetooth/Wi-Fi’s RSSI (Received Signal Strength Indicator) parameter as relative to multiple mobile and fixed nodes to determine the distance to an object. The nodes, both mobile and fixed, are purpose-built for the object of this study and feature multiple other peripherals, as described in the paper. The basic implemented model of these nodes is also described in the paper.
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References
de Carvalho, S., Joel, J.P.C., Alberti, A.: LoRaWAN—A low power WAN protocol for internet of things: a review and opportunities. In: 2017 SpliTech. IEEE (2017)
Goutham, A., Thanikaiselvan, V.: Improving the performance of RSSI based indoor localization techniques using neural networks. In: 2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA). IEEE (2018)
Xiaolong, S., Shenbqi, Y., Jian, H.: Improved localization algorithm based on RSSI în low power Bluetooth network. In: 2016 2nd International Conference on Cloud Computing and Internet of Things (CCIOT). IEEE (2016)
Jianqiao, X., Qin, Q., Zeng K.: A distance measurement wireless localization correction algorithm based on RSSI. In: 2014 Seventh International Symposium on Computational Intelligence and Design, vol. 2. IEEE (2014)
IEEE Computer Society LAN/MAN Standards Committee: IEEE standard for information technology-telecommunications and information exchange between systems-Local and metropolitan area networks-specific requirements part 11: Wireless LAN medium access control (MAC) and physical layer (PHY) specifications. IEEE Std 802.11 (2007)
Miller, A., Brent, A., Chatschik, B.: Bluetooth Revealed: The Insider’s Guide to An Open Specification for Global Wireless Communication. Prentice Hall PTR, Upper Saddle River (2001)
Besnea, D., Dinu, E., Moraru, E., Spanu, A., Rizescu, C., Constantin, V.: Experimental researches regarding the manufacturing of new thermoplastic materials used in additive technologies. Materiale Plastice 56(1), 167–170 (2019)
Mogoş, R., Bodea, C., Dascălu, M.: Technology enhanced learning for Industry 4.0 engineering education. Revue roumaine des sciences techniques 63(4), 429–435 (2018)
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Coandă, P., Avram, M., Constantin, V., Grămescu, B. (2022). Indoor GPS System for Autonomous Mobile Robots Used in Surveillance Applications. In: Machado, J., Soares, F., Trojanowska, J., Yildirim, S. (eds) Innovations in Mechatronics Engineering. icieng 2021. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-79168-1_9
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DOI: https://doi.org/10.1007/978-3-030-79168-1_9
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