Probabilistic evaluation of self-localization on ad-hoc network using model checking
Author:
Affiliation:
1. Department of Computer Science, College of Engineering, Nihon University
2. Department of Electrical & Computer Engineering, The University of Texas at San Antonio
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/comex/12/1/12_2022XBL0136/_pdf
Reference10 articles.
1. [1] Y. Li, Y. Zhuang, X. Hu, Z. Gao, J. Hu, L. Chen, Z. He, L. Pei, K. Chen, M. Wang, X. Niu, R. Chen, J. Thompson, F.M. Ghannouchi, and N. El-Sheimy, “Toward location-enabled IoT (LE-IoT): IoT positioning techniques, error sources, and error mitigation,” IEEE Internet Things J, vol. 8, no. 6, pp. 4035-4062, 2021. DOI: 10.1109/jiot.2020.3019199
2. [2] T. Sekizawa, T. Mikoshi, M. Nagura, R. Watanabe, and Q. Chen, “Probabilistic position estimation and model checking for resource-constrained IoT devices,” ICCCN, pp. 1-7, 2018. DOI: 10.1109/icccn.2018.8487444
3. [3] T. Sekizawa, Q. Chen, and T. Mikoshi, “Recursive gateway allocation combined with self-localization and model checking in mobile ad-hoc networks,” Proc. Tenth International Symposium on Information and Communication Technology, pp. 441-448, 2019. DOI: 10.1145/3368926.3369685
4. [4] S. Thrun, W. Burgard, and D. Fox, Probabilistic Robotics, MIT Press, 2005.
5. [5] E.M. Clarke, O. Grumberg, and D. Peled, Model Checking, MIT Press, 1999.
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