Investigating routing in the vanet network: Review and classification of approaches
AK Sangaiah, A Javadpour, CC Hsu, A Haldorai… - Algorithms, 2023 - mdpi.com
Vehicular Ad Hoc Network (VANETs) need methods to control traffic caused by a high
volume of traffic during day and night, the interaction of vehicles, and pedestrians, vehicle …
volume of traffic during day and night, the interaction of vehicles, and pedestrians, vehicle …
A Comprehensive Review of Categorization and Perspectives on State-of-Charge Estimation Using Deep Learning Methods for Electric Transportation
Lithium-ion batteries are an excellent choice for electric transportation because of their high
energy density, minimum self-discharge, and prolonged cycle life. The performance of …
energy density, minimum self-discharge, and prolonged cycle life. The performance of …
An optimized elman neural network for contactless palm-vein recognition framework
T Sandhya, GS Reddy - Wireless Personal Communications, 2023 - Springer
Contactless palm vein recognition plays a significant role in biometric application because of
its high stability, non-intrusive, flexibility and unique nature. Thus, different neural …
its high stability, non-intrusive, flexibility and unique nature. Thus, different neural …
A Deep Learning-Based Routing Approach for Wireless Mesh Backbone Networks
OS Eyobu, K Edwinah - IEEE Access, 2023 - ieeexplore.ieee.org
Optimal routing decisions are key in communication network environments to minimize
bottlenecks such as traffic congestion and limited bandwidth. Routing in wireless mesh …
bottlenecks such as traffic congestion and limited bandwidth. Routing in wireless mesh …
[PDF][PDF] Effective Routing Using Multi-Objective Levy flight-Artificial Rabbit Optimization Algorithm for Wireless Mesh Networks.
KN Prema, MB Ushadevi - … Journal of Intelligent Engineering & Systems, 2023 - inass.org
Wireless mesh networks (WMNs) are familiar due to their unique characteristics such as
adaptability, flexibility and less time for transmitting data packets. The routing technique acts …
adaptability, flexibility and less time for transmitting data packets. The routing technique acts …
Reinforcement Learning for Dynamic Traffic Routing and Optimization
S Ebadinezhad, A Conteh, KA Ali… - 2024 International …, 2024 - ieeexplore.ieee.org
This paper addresses the rapidly evolving and expanding needs of network traffic with new
methods, most notably Reinforcement Learning (RL). The RL has shown significant potential …
methods, most notably Reinforcement Learning (RL). The RL has shown significant potential …
Energy Efficient Routing in Wireless Mesh Networks using Multi-Objective Dwarf Mongoose Optimization Algorithm
KN Prema, MB Ushadevi… - International Journal of …, 2024 - ijeer.forexjournal.co.in
Wireless Mesh Networks (WMNs) are part of wireless technologies that are known for their
flexibility and extended coverage. Wireless applications have reached their peak in …
flexibility and extended coverage. Wireless applications have reached their peak in …