Open Access
Issue
SHS Web Conf.
Volume 204, 2024
1st International Graduate Conference on Digital Policy and Governance Sustainability (DiGeS-Grace 2024)
Article Number 04002
Number of page(s) 11
Section Sustainable Digital Governance
DOI https://doi.org/10.1051/shsconf/202420404002
Published online 25 November 2024
  1. Capdehourat, Germán, Paola Bermolen, Marcelo Fiori, Nicolás Frevenza, Federico Larroca, Gastón Morales, Claudina Rattaro, and Gianina Zunino. 2021. “Large-Scale 802.11 Wireless Networks Data Analysis Based on Graph Clustering.” Wireless Personal Communications 1–29. [Google Scholar]
  2. AliReza Naderloo, “Fuzzy-based cluster routing in wireless sensor network”, Iran University of Medical Sciences, Tehran, Iran, 2023. [Google Scholar]
  3. Yingpeng Lin “Dijkstra and A* Algorithms in Automated Vehicle Driving,* SPIE Digital Library, 2023. [Google Scholar]
  4. Parwez, Md Salik, Danda B. Rawat, and Moses Garuba. 2017. “Big Data Analytics for User-Activity Analysis and User-Anomaly Detection in Mobile Wireless Network.” IEEE Transactions on Industrial Informatics 13(4):2058–65. [CrossRef] [Google Scholar]
  5. Sabir Hossain “Research on Robot Path Planning Based on Dijkstra and Ant Colony”, IEEE Xplore, 2022. [Google Scholar]
  6. Chin lin “comparative Study Of Various Approaches Of Dijkstra Algorithm”, IEEE Xplore, 2021.. [Google Scholar]
  7. Amhmed Bhih, “An Improved Leach Algorithm Based on Hierarchical Clustering Approach for Wireless Sensor Network Application”, Department of Communication College of Electronic Technology (CET)-Tripoli Tripoli, Libya, 2022. [Google Scholar]
  8. N. Meenakshi, “Efficient Communication in Wireless Sensor Networks Using Optimized Energy Efficient Engroove Leach Clustering Protocol”, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Alkharj 11942, Saudi Arabia, 2024. [Google Scholar]
  9. Mali, Ganesh U., and D. K. Gautam. 2018. “Shortest Path Evaluation in Wireless Network Using Fuzzy Logic.” Wireless Personal Communications 100(4):1393–1404. [CrossRef] [Google Scholar]
  10. Yang, Howard H., Chao Xu, Xijun Wang, Daquan Feng, and Tony Q. S. Quek. 2021. “Understanding Age of Information in Large-Scale Wireless Networks.” IEEE Transactions on Wireless Communications. [Google Scholar]
  11. Yilmaz, Onur, Sercan Demirci, Yagiz Kaymak, Serkan Ergun, and Ahmet Yildirim. 2012. “Shortest Hop Multipath Algorithm for Wireless Sensor Networks.” Computers & Mathematics with [Google Scholar]
  12. Akyildiz, Ian F., Weilian Su, Yogesh Sankarasubramaniam, and Erdal Cayirci. 2002. “Wireless Sensor Networks: A Survey.” Computer Networks 38(4):393–422. [CrossRef] [Google Scholar]
  13. Mali, Ganesh U., and D. K. Gautam. 2018. “Shortest Path Evaluation in Wireless Network Using Fuzzy Logic.” Wireless Personal Communications 100(4):1393–1404. [CrossRef] [Google Scholar]
  14. Sonam Lata 1, Shabana Mehfuz 1, (Senior Member, IEEE), Shabana Urooj 2,3, (Senior Member, IEEE), AND Fadwa Alrowais 4 “Fuzzy Clustering Algorithm for Enhancing Reliability and Network Lifetime of Wireless Sensor Networks” 2021 [Google Scholar]
  15. Faheem Khan 1, Shabir Ahmad 1, Huseyin Guruler 2, Gurcan Cetin 2, Taegkeun Whangbo 1 and Cheong-Ghil Kim 3, * “An Efficient and Reliable Algorithm for Wireless Sensor Network” 2021 [Google Scholar]
  16. Jianfeng Yang, Ming Zhao & Jing Chen “ELS algorithm for estimating open source software reliability with masked data considering both fault detection and correction processes” 2021 [Google Scholar]
  17. Jianfeng Yang 1,3, Jing Chen 2, and Xebio Wang 1 “EM Algorithm for Estimating Reliability of MultiRelease Open Source Software Based on General Masked Data” 2021 [Google Scholar]
  18. Bo Zhao, Jianfeng Yang*, Ming Zhao, Qi Li, “Wireless sensor network reliability modelling based on masked data” 2015 [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.