A Novel Method for Optimizing Energy Consumption in Applications for Detecting Palm Rhynchophorus Ferrugineus in WSNs Using Data mining and Q-Learning-Reference-Cited by-同舟云学术

A Novel Method for Optimizing Energy Consumption in Applications for Detecting Palm Rhynchophorus Ferrugineus in WSNs Using Data mining and Q-Learning

Published:2021-06-29 Issue:1 Volume:121 Page:1-17
ISSN:0929-6212
Container-title:Wireless Personal Communications
language:en
Short-container-title:Wireless Pers Commun

Author:

Tabatabaei Shayesteh^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

https://link.springer.com/content/pdf/10.1007/s11277-021-08620-y.pdf

Reference15 articles.

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3. Hammoudeh, M., & Newman, R. (2015). Adaptive routing in wireless sensor networks: QoS optimisation for enhanced application performance. Information Fusion, 22, 3–15.

4. Razzaque, M. A., Ahmed, M. H. U., Hong, C. S., & Lee, S. (2014). QoS-aware distributed adaptive cooperative routing in wireless sensor networks. Ad Hoc Networks, 19, 28–42.

5. Amato, G., Chessa, S., Gennaro, C., & Vairo, C. (2015). Querying moving events in wireless sensor networks. Pervasive and Mobile Computing, 16, 51–75.

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