DCFH: A dynamic clustering approach based on fire hawk optimizer in flying ad hoc networks

M Hosseinzadeh, S Ali, HJ Ahmad, F Alanazi… - Vehicular …, 2024 - Elsevier
In flying ad hoc networks (FANETs), unmanned aerial vehicles (UAVs) communicate with
each other without any fixed infrastructure. Because of frequent topological changes …

A reinforcement learning based routing protocol for software-defined networking enabled wireless sensor network forest fire detection

N Moussa, E Nurellari, K Azbeg, A Boulouz… - Future Generation …, 2023 - Elsevier
Abstract Critical event reporting Wireless Sensor Networks (WSNs) applications need vital
requirements (extended network lifetime, reliability, real time responsiveness, and …

[HTML][HTML] A smart filtering-based adaptive optimized link state routing protocol in flying ad hoc networks for traffic monitoring

M Hosseinzadeh, S Ali, AM Rahmani, J Lansky… - Journal of King Saud …, 2024 - Elsevier
Nowadays, the use of drones as a fundamental element of smart cities has attracted the
attention of many researchers to monitor and control the traffic of vehicles. Because of the …

Deep reinforcement learning-based intelligent security forwarding strategy for VANET

B Liu, G Xu, G Xu, C Wang, P Zuo - Sensors, 2023 - mdpi.com
The vehicular ad hoc network (VANET) constitutes a key technology for realizing intelligent
transportation services. However, VANET is characterized by diverse message types …

[HTML][HTML] A novel Q-learning-based routing scheme using an intelligent filtering algorithm for flying ad hoc networks (FANETs)

M Hosseinzadeh, S Ali, L Ionescu-Feleaga… - Journal of King Saud …, 2023 - Elsevier
The flying ad hoc network (FANET) is an emerging network focused on unmanned aerial
vehicles (UAVs) that has attracted the attention of researchers around the world. Due to the …

Reinforcement learning-based approach for minimizing energy loss of driving platoon decisions

Z Gu, Z Liu, Q Wang, Q Mao, Z Shuai, Z Ma - Sensors, 2023 - mdpi.com
Reinforcement learning (RL) methods for energy saving and greening have recently
appeared in the field of autonomous driving. In inter-vehicle communication (IVC), a feasible …

Analysis of U-V2X Communications with Non-Clustered and Clustered Jamming in the Presence of Fluctuating UAV Beam Width

M Arif, W Kim - Mathematics, 2023 - mdpi.com
Jammers emit strong intentional jamming signals aiming to limit or block legitimate
communications. The distribution of jammers, whether in non-clustered or clustered form …

Machine learning based data collection protocol for intelligent transport systems: a real-time implementation on Dublin M50, Ireland

M Gillani, HA Niaz - Complex & Intelligent Systems, 2024 - Springer
The continuous global urbanization with rapid and dynamic transitioning in traffic situations
among highly populated cities results in difficulty for data collection and communication …

Deploying a Low-Cost Wi-Fi-Based Vehicular Ad Hoc Network in a Shopping Mall Parking Lot: An Empirical Study

NI Sarkar, F Ahmed, S Gul - Electronics, 2023 - mdpi.com
Vehicular ad hoc networks (VANETs) have the potential to reduce car accidents by
facilitating connectivity and warning message exchange between vehicles, both on roads …

[HTML][HTML] A Q-learning-based smart clustering routing method in flying Ad Hoc networks

M Hosseinzadeh, J Tanveer, AM Rahmani… - Journal of King Saud …, 2024 - Elsevier
Flying ad hoc networks (FANETs) have particular importance in various military and civilian
applications due to their specific features, including frequent topological changes, the …