Indoor navigation systems based on data mining techniques in internet of things: a survey

Indoor navigation systems based on data mining techniques in internet of things: a survey Internet of Things (IoT) is turning into an essential part of daily life, and numerous IoT-based scenarios will be seen in future of modern cities ranging from small indoor situations to huge outdoor environments. In this era, navigation continues to be a crucial element in both outdoor and indoor environments, and many solutions have been provided in both cases. On the other side, recent smart objects have produced a substantial amount of various data which demands sophisticated data mining solutions to cope with them. This paper presents a detailed review of previous studies on using data mining techniques in indoor navigation systems for the loT scenarios. We aim to understand what type of navigation problems exist in different IoT scenarios with a focus on indoor environments and later on we investigate how data mining solutions can provide solutions on those challenges. Keywords IoT  Indoor navigation system  Indoor positioning  Data mining  Machine learning 1 Introduction The IoT devices are able to provide safe, reliable and efficient solutions especially in high-risk Environ- Internet of Things (IoT) can be deemed as a fast growing ment,health and safety (EHS), Montbel Thibaud et. al. have technology the fundamental idea of http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Wireless Networks Springer Journals

Indoor navigation systems based on data mining techniques in internet of things: a survey

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Publisher
Springer US
Copyright
Copyright © 2018 by Springer Science+Business Media, LLC, part of Springer Nature
Subject
Engineering; Communications Engineering, Networks; Computer Communication Networks; Electrical Engineering; IT in Business
ISSN
1022-0038
eISSN
1572-8196
D.O.I.
10.1007/s11276-018-1766-4
Publisher site
See Article on Publisher Site

Abstract

Internet of Things (IoT) is turning into an essential part of daily life, and numerous IoT-based scenarios will be seen in future of modern cities ranging from small indoor situations to huge outdoor environments. In this era, navigation continues to be a crucial element in both outdoor and indoor environments, and many solutions have been provided in both cases. On the other side, recent smart objects have produced a substantial amount of various data which demands sophisticated data mining solutions to cope with them. This paper presents a detailed review of previous studies on using data mining techniques in indoor navigation systems for the loT scenarios. We aim to understand what type of navigation problems exist in different IoT scenarios with a focus on indoor environments and later on we investigate how data mining solutions can provide solutions on those challenges. Keywords IoT  Indoor navigation system  Indoor positioning  Data mining  Machine learning 1 Introduction The IoT devices are able to provide safe, reliable and efficient solutions especially in high-risk Environ- Internet of Things (IoT) can be deemed as a fast growing ment,health and safety (EHS), Montbel Thibaud et. al. have technology the fundamental idea of

Journal

Wireless NetworksSpringer Journals

Published: May 29, 2018

References

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