UAM-RDE: an uncertainty analysis method for RSSI-based distance estimation in wireless sensor networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-020-04777-y.pdf
Reference20 articles.
1. Luo Q, Peng Y, Li J, Peng X (2016) RSSI-based localization through uncertain data mapping for wireless sensor networks. IEEE Sensors J 16(9):3155–3162
2. Franco DC, Prorok A, Atanasov N, Kempke B, Dutta P et al (2017) Calibration-free network localization using non-line-of-sight ultra-wideband measurements. In: Proceedings of 2017 16th ACM/IEEE international conference on information processing in sensor networks, IPSN 2017, pp 235–246
3. Luo QH, Peng Y, Peng XY et al (2014) Uncertain data clustering-based distance estimation in wireless sensor networks. Sensors 14(4):6584–6605
4. Luo QH, Yan XZ, Li JB et al (2014) DDEUDSC: a dynamic distance estimation using uncertain data stream clustering in mobile wireless sensor networks. Measurement 55(40):423–433
5. Baccour N, Koubâa A, Youssef H, Jamâa MB, Do Rosário D et al (2010) F-LQE: a fuzzy link quality estimator for wireless sensor networks. In: Proceedings of 7th European workshop on wireless sensor networks, Coimbra, pp 240–255
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