Abstract
The problem of mobile sensor network location has always been a core technical problem that needs to be broken in the application of IoT. The existing location method is difficult to effectively solve the problem of the location of unknown nodes in the mobile environment. Although the Monte Carlo method is more suitable for dynamic sensor networks than other existing positioning algorithms, this algorithm still has bottleneck problems such as low positioning accuracy and low security. This paper proposes a high-security Monte Carlo positioning method based on FM signal characteristics (FM-MCL). Compared with the traditional KNN, SVM and MCL algorithms, FM-MCL significantly improves the security performance of the algorithm. The positioning accuracy of the algorithm makes the positioning accuracy still less than 20% in the environment of malicious attack.
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Xue, Wc., Hua, Y., Ju, J. (2020). Localization Algorithm Based on FM for Mobile Wireless Sensor Networks. In: Liang, Q., Wang, W., Liu, X., Na, Z., Jia, M., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2019. Lecture Notes in Electrical Engineering, vol 571. Springer, Singapore. https://doi.org/10.1007/978-981-13-9409-6_322
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DOI: https://doi.org/10.1007/978-981-13-9409-6_322
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