MLGARTC: Machine Learning Based Genetic Approach in RSSI Tree Climbing Path Improvisation of the Mobile Anchor’s Using K-Means Clustering of Wireless Sensor Network-Reference-Cited by-同舟云学术

MLGARTC: Machine Learning Based Genetic Approach in RSSI Tree Climbing Path Improvisation of the Mobile Anchor’s Using K-Means Clustering of Wireless Sensor Network

Published:2021 Issue: Volume: Page:213-229
ISSN:2190-3018
Container-title:Modeling, Simulation and Optimization
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Author:

Thilagavathi P.,Martin Leo Manickam J.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-9829-6_17

Reference22 articles.

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3. Bernhard, B., Sutton, F., et al.: GPS-equipped wireless sensor network node for high-accuracy positioning applications, pp. 179–195. Springer (2012)

4. Mohammed, MMZE., et al.: Machine learning: algorithms and applications. International Standard Book no 13 (2017)

5. Praveen Kumar, D., Amgoth, T., et al.: Machine learning algorithms for wireless sensor networks: a survey. Inf. Fusion 49, 1–25 (2019)

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