RSSI-based Localization With Minimal Infrastructure Using Multivariate Statistic Techniques

Pflaum F, Erhardt S, Weigel R, Kölpin A (2017)


Publication Type: Conference contribution

Publication year: 2017

Publisher: IEEE

Pages Range: 69-72

Event location: Phoenix, AZ US

DOI: 10.1109/WISNET.2017.7878758

Abstract

In this paper a new approach to localization of mobile nodes in wireless sensor networks is presented which utilizes the measurement of the received signal strength indicator by multiple receivers concentrated in a small area and applies the technique of linear discriminant analysis to the received data. The concept of gathering all receivers at a single spot provides great flexibility, while good spatial resolution is still achieved. This is demonstrated by a test network operating in the sub-GHz-range around 868 MHz.

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How to cite

APA:

Pflaum, F., Erhardt, S., Weigel, R., & Kölpin, A. (2017). RSSI-based Localization With Minimal Infrastructure Using Multivariate Statistic Techniques. In Proceedings of the IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet) (pp. 69-72). Phoenix, AZ, US: IEEE.

MLA:

Pflaum, Felix, et al. "RSSI-based Localization With Minimal Infrastructure Using Multivariate Statistic Techniques." Proceedings of the IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet), Phoenix, AZ IEEE, 2017. 69-72.

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