Improved rider for vehicular adhoc NETwork routing via neural network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Cognitive Neuroscience,Computer Vision and Pattern Recognition,Mathematics (miscellaneous)
Link
https://link.springer.com/content/pdf/10.1007/s12065-021-00602-0.pdf
Reference38 articles.
1. Lakshmanaprabu SK, Shankar K, Rani SS, Abdulhay E, Arunkumar N, Ramirez G, Uthayakumar J (2019) An effect of big data technology with ant colony optimization based routing in vehicular ad hoc networks: towards smart cities. J Cleaner Product 217:584–593
2. Mohaisen LF, Joiner LL (2017) Interference aware bandwidth estimation for load balancing in EMHR-energy based with mobility concerns hybrid routing protocol for VANET-WSN communication. Ad Hoc Netw 66:1–15
3. SkanderDaas M, Chikhi S (2018) “Optimizing geographic routing protocols for urban VANETs using stigmergy, social behavior and adaptive C-n-F mechanisms: an optimized CLWPR.” Vehicular Commun 14:97–108
4. Song C, Jie Wu, Liu M, Zheng H (2017) Efficient routing through discretization of overlapped road segments in VANETs. J Parallel Distrib Comput 102:57–70
5. Wang X, Wang D, Sun Qi (2018) Reliable routing in IP-based VANET with network gaps. Comput Standards Interfaces 55:80–94
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