An Efficient Approach to the k-Strong Barrier Coverage Problem Under the Probabilistic Sensing Model in Wireless Multimedia Sensor Networks-Reference-Cited by-同舟云学术

An Efficient Approach to the k-Strong Barrier Coverage Problem Under the Probabilistic Sensing Model in Wireless Multimedia Sensor Networks

Published:2024 Issue: Volume: Page:167-180
ISSN:1867-8211
Container-title:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
language:en
Short-container-title:

Author:

Binh Nguyen Thi My,Thien Nguyen Van,Luong Ho Viet Duc,Ngoc Dang The

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-55993-8_13

Reference22 articles.

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3. Binh, H.T.T., Binh, N.T.M., Ngoc, N.H., Ly, D.T.H., Nghia, N.D.: Efficient approximation approaches to minimal exposure path problem in probabilistic coverage model for wireless sensor networks. Appl. Soft Comput. 76, 726–743 (2019)

4. Binh, N.T.M., Binh, H.T.T., Van Linh, N., Yu, S.: Efficient meta-heuristic approaches in solving minimal exposure path problem for heterogeneous wireless multimedia sensor networks in internet of things. Appl. Intell. 50(6), 1889–1907 (2020)

5. Binh, N.T.M., Hoang Long, D., Ngoc, N., Thanh Binh, H.T., Phuong, N.K.: Investigate evolutionary strategies for black-box attacks to deepfake forensic systems. In: Proceedings of the 11th International Symposium on Information and Communication Technology, pp. 126–133 (2022)