Properties of WLAN Indoor Fingerprinting Received Signal Strength for Localization
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International Journal of Computer Trends and Technology (IJCTT) |  |
| © 2019 by IJCTT Journal | ||
| Volume-67 Issue-8 |
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| Year of Publication : 2019 | ||
| Authors : Mrindoko R. Nicholaus, Edephonce N. Nfuka, Kenedy Aliila Greyson | ||
| DOI : 10.14445/22312803/IJCTT-V67I8P112 |
MLA Style:Mrindoko R. Nicholaus, Edephonce N. Nfuka, Kenedy Aliila Greyson"Properties of WLAN Indoor Fingerprinting Received Signal Strength for Localization" International Journal of Computer Trends and Technology 67.8 (2019):69-74.
APA Style Mrindoko R. Nicholaus, Edephonce N. Nfuka, Kenedy Aliila Greyson. Properties of WLAN Indoor Fingerprinting Received Signal Strength for LocalizationInternational Journal of Computer Trends and Technology, 67(8),69-74.
Abstract
Indoor positioning systems that make use of received signal strength-based location fingerprints and existing wireless local area network infrastructure have recently been the focus for supporting location-based services in indoor environment. A familiarity and understanding of the properties of the location fingerprint can assist in algorithm design and improving indoor positioning system deployment. However, most existing research work on the radio signals properties has been conducted, the requirements may differ from various algorithms. This paper investigates the properties of the received signal strength reported by IEE 802.11b wireless network interface cards. Analyses of the data are performed to understand the underlying features of location fingerprints to assist in model design. The measured data also analyses to understand the distribution model to the measured data.
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Keywords
Indoor, WLAN, RSS, Modelling, Localization, Positioning system.