Drone cybersecurity issues, solutions, trend insights and future perspectives: a survey

AE Omolara, M Alawida, OI Abiodun - Neural computing and applications, 2023 - Springer
This paper presented an exhaustive survey on the security and privacy issues of drones.
These security concerns were thoroughly dissected, particularly the aspect of cybersecurity …

RIS-assisted physical layer security in emerging RF and optical wireless communication systems: A comprehensive survey

MH Khoshafa, O Maraqa, JM Moualeu… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Security and latency are crucial aspects in the design of future wireless networks. Physical
layer security (PLS) has received a growing interest from the research community in recent …

A secure intrusion detection platform using blockchain and radial basis function neural networks for internet of drones

A Heidari, NJ Navimipour… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The Internet of Drones (IoD) is built on the Internet of Things (IoT) by replacing “Things” with
“Drones” while retaining incomparable features. Because of its vital applications, IoD …

TEEECH: three-tier extended energy efficient clustering hierarchy protocol for heterogeneous wireless sensor network

N Kumar, P Rani, V Kumar, PK Verma… - Expert Systems with …, 2023 - Elsevier
The energy efficiency in wireless sensor networks (WSNs) is a significant challenge. A
clustering-based approach is an energy-saving approach in WSN. The practical clustering …

Energy-efficient routing in wireless sensor networks: a meta-heuristic and artificial intelligence-based approach: a comprehensive review

R Priyadarshi - Archives of Computational Methods in Engineering, 2024 - Springer
Abstract Artificial Intelligence (AI) realizes Wireless Sensor Networks (WSNs) as a dynamic
environment of battery-powered sensor nodes. These nodes are carefully built to monitor …

Deep learning challenges and prospects in wireless sensor network deployment

Y Qiu, L Ma, R Priyadarshi - Archives of Computational Methods in …, 2024 - Springer
This paper explores the transformative integration of deep learning applications in the
deployment of Wireless Sensor Networks (WSNs). As WSNs continue to play a pivotal role in …

Enhancing robot path planning through a twin-reinforced chimp optimization algorithm and evolutionary programming algorithm

Y Zhang, H Zhang - IEEE Access, 2023 - ieeexplore.ieee.org
The importance of efficient path planning (PP) cannot be overstated in the domain of robots,
as it involves the utilization of intelligent algorithms to determine the optimal trajectory for …

Machine learning optimization techniques: a Survey, classification, challenges, and Future Research Issues

K Bian, R Priyadarshi - Archives of Computational Methods in Engineering, 2024 - Springer
Optimization approaches in machine learning (ML) are essential for training models to
obtain high performance across numerous domains. The article provides a comprehensive …

Resource allocation in 5G cloud‐RAN using deep reinforcement learning algorithms: A review

M Khani, S Jamali, MK Sohrabi… - Transactions on …, 2024 - Wiley Online Library
This paper reviews recent research on resource allocation in 5G cloud‐based radio access
networks (C‐RAN) using deep reinforcement learning (DRL) algorithms. It explores the …

[HTML][HTML] Machine learning based IoT system for secure traffic management and accident detection in smart cities

SB Balasubramanian, P Balaji, A Munshi… - PeerJ Computer …, 2023 - peerj.com
In smart cities, the fast increase in automobiles has caused congestion, pollution, and
disruptions in the transportation of commodities. Each year, there are more fatalities and …