Universiti Teknologi Malaysia Institutional Repository

Three Dimension (3D) indoor positioning via received signal strength indicator in Internet of Things

Abdul Wahab, Nur Haliza and Syazwani, N. C. J. and S. Ariffin, Sharifah H. and Sunar, Noorhazirah and Abdul Kadir, Nuraini Huda (2022) Three Dimension (3D) indoor positioning via received signal strength indicator in Internet of Things. In: Proceedings of the 6th International Conference on Electrical, Control and Computer Engineering InECCE2021, Kuantan, Pahang, Malaysia, 23rd August. Lecture Notes in Electrical Engineering, 842 (NA). Springer Science and Business Media Deutschland GmbH, Singapore, pp. 1081-1092. ISBN 978-981168689-4

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Official URL: http://dx.doi.org/10.1007/978-981-16-8690-0_94

Abstract

There are many expensive things and equipment in a corporation like medical equipment, lab tools and equipment and more. In University, students are freely to use the lab equipment and it is hard for technicians to handle and trace of all the equipment due to many labs needed to be handled by one technician. As for this, it frequently happens in lost cases. Due to that, indoor tracking and monitoring are needed to monitor and track the location of expensive equipment. This work focus on the School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia. The indoor tracking and monitoring system need to be in 3 Dimensional (3D) due to the existence of the Z-axis to support tracking when having multiple levels of the building. The main focus of this project is presenting the development of 3D indoor location tracking and monitoring systems to track and monitor the lab equipment in the School of Computing. The indoor tracking and monitoring will support seamless mobility at the services level. As to support seamless connectivity, Internet of Things (IoT) platform were used. The algorithm used the Received Signal Strength Indicator (RSSI) integrated with the Triangulation technique. The accuracy of 0.401 m was achieved from the experimental result.

Item Type:Book Section
Uncontrolled Keywords:indoor localization, indoor positioning, Internet of Things, received signal strength indicator, triangulation
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computing
ID Code:100579
Deposited By: Yanti Mohd Shah
Deposited On:17 Apr 2023 07:11
Last Modified:17 Apr 2023 07:11

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