Indoor location identification technologies for real-time IoT-based applications: an inclusive survey

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2018-11Author
Oguntala, George A.Abd-Alhameed, Raed

Jones, Stephen F.
Noras, James M.
Patwary, M.
Rodriguez, Jonathan
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© 2018 Elsevier Inc. Reproduced in accordance with the publisher's self-archiving policy. This manuscript version is made available under the CC-BY-NC-ND 4.0 license.Peer-Reviewed
YesOpen Access status
openAccessAccepted for publication
2018-09-03
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Show full item recordAbstract
The advent of the Internet of Things has witnessed tremendous success in the application of wireless sensor networks and ubiquitous computing for diverse smart-based applications. The developed systems operate under different technologies using different methods to achieve their targeted goals. In this treatise, we carried out an inclusive survey on key indoor technologies and techniques, with to view to explore their various benefits, limitations, and areas for improvement. The mathematical formulation for simple localization problems is also presented. In addition, an empirical evaluation of the performance of these indoor technologies is carried out using a common generic metric of scalability, accuracy, complexity, robustness, energy-efficiency, cost and reliability. An empirical evaluation of performance of different RF-based technologies establishes the viability of Wi-Fi, RFID, UWB, Wi-Fi, Bluetooth, ZigBee, and Light over other indoor technologies for reliable IoT-based applications. Furthermore, the survey advocates hybridization of technologies as an effective approach to achieve reliable IoT-based indoor systems. The findings of the survey could be useful in the selection of appropriate indoor technologies for the development of reliable real-time indoor applications. The study could also be used as a reliable source for literature referencing on the subject of indoor location identification.Version
Accepted manuscriptCitation
Oguntala G, Abd-Alhameed R, Jones S et al (2018) Indoor location identification technologies for real-time IoT-based applications: an inclusive survey. Computer Science Review. 30: 55-79.Link to Version of Record
https://doi.org/10.1016/j.cosrev.2018.09.001Type
Articleae974a485f413a2113503eed53cd6c53
https://doi.org/10.1016/j.cosrev.2018.09.001