Abstract
As humans, nearly eighty percent of our day-to-day activities are conducted in an indoor environment, making indoor tracking and monitoring extremely necessary. The needs of having an Indoor Positioning System (IPS) has become crucial as the development is critically challenged due to the fact that satellite signals via Global Positioning System (GPS) cannot penetrate through a building. Variety techniques and approaches on IPS have been proposed but the most desirable approach used is the Received Signal Strength Indicator (RSSI) due to existing infrastructure already in place to provide a low-cost implementation. Internet of Things (IoT) itself has brought drastic changes and opened new opportunities for growth and innovation in technology. An integration between RSSI and IoT is the perfect combination of the development of IPS to allow an increased accuracy. This paper proposes an Indoor Monitoring and Positioning System (IMPS) using RSSI algorithm and triangulation technique integrated with IoT. The experimental results show that the proposed IMPS has achieved an average accuracy of 0.5 m for 2D. Future work has suggested an improvement in the IMPS with AR mapping integrated with Machine Learning.
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Wahab, N.H.A., Ariffin, S.H.S., Latiff, L., Radzi, R.Z.R.M., Wessam, H., Aaina Saleh, N. (2022). Development of 2D Indoor Monitoring and Positioning System (IMPS) Using Received Signal Strength Indicator (RSSI) Assisted by Internet of Things (IoT). In: Mahyuddin, N.M., Mat Noor, N.R., Mat Sakim, H.A. (eds) Proceedings of the 11th International Conference on Robotics, Vision, Signal Processing and Power Applications. Lecture Notes in Electrical Engineering, vol 829. Springer, Singapore. https://doi.org/10.1007/978-981-16-8129-5_48
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