A New Search Strategy of Radio Fingerprint Matching Method in Wireless Sensor Network

Li, Hongchun; Zhao, Xiaoguang; Tan, Min

doi:10.1109/rvsp.2011.28

Cited by 2 publications

(1 citation statement)

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“…This technique is robust and has good performance, nevertheless it requires extensive iterations through data to optimize clusters. The Sierpinski triangle search strategy is implemented in [11] to optimize the fingerprinting matching process in a Wireless Sensor Network (WSN). The working principle of this strategy is to divide the search region into sub-areas, and find the closest sub-area to the new measurement.…”

Section: Related Workmentioning

confidence: 99%

Enhanced fingerprinting in WLAN-based indoor positioning using hybrid search techniques

Abusara

Hassan

2015

2015 International Conference on Communications, Signal Processing, and Their Applications (ICCSPA'15)

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Selective matching between the received signal strength (RSS) measured by the target and the pre-stored fingerprints can improve fingerprinting algorithms by reducing their computational requirements. This is achieved by minimizing the number of search points needed to find the best match between the target RSS and the pre-stored fingerprints. Therefore, in this paper we propose a hybrid solution of clustering and fast search techniques to reduce the computational requirements of fingerprinting. The performance of the proposed method is quantified by evaluating the positioning accuracy, precision and the required number of search points. Our results show that the proposed hybrid technique can drastically reduce the number of search points, at a tolerable reduction of accuracy and precision.

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Section: Related Workmentioning

confidence: 99%