Shift Reduce Parser Based Malicious Sensor Detection for Predicting Forest Fire in WSNs

Author:

Komathi A.,Pushparani M.

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications

Reference27 articles.

1. Lloret, J., Garcia, M., Bri, D., & Sendra, S. (2009). A wireless sensor network deployment for rural and forest fire detection and verification. Sensors, 9(11), 8722–8747.

2. Li, W., & Zhu, X. (2016). BAN-trust: An attack-resilient malicious node detection scheme for body area networks. In 2016 IEEE International conference on computing, networking, and communications, 1–5.

3. Molina-Pico, A., Cuesta-Frau, D., Araujo, A., Alejandre, J., & Rozas, A. (2016). Forest monitoring and wildland early fire detection by a hierarchical wireless sensor network. Journal of Sensors. https://doi.org/10.1155/2016/8325845 .

4. Aravindh, S., Vinoth, R. S., & Vijayan, R. (2013). A trust-based approach for detection and isolation of malicious nodes in MANETs. International Journal of Engineering and Technology, 5(1), 193–199.

5. Sajjad, S. M., Bouk, S. H., & Yousaf, M. (2015). Neighbor node trust based intrusion detection system for WSN. 6th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, 63, 183–188.

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