Congestion centric multi‐objective reptile search algorithm‐based clustering and routing in cognitive radio sensor network

D Sunitha, KR Balmuri, RP de Prado… - Transactions on …, 2023 - Wiley Online Library
Abstract In recent trends, Cognitive Radio Sensor Networks (CRSNs) are investigated in‐
depth and getting momentum in all types of applications. CRSN can make use of the …

Fire risk assessment of subway stations based on combination weighting of game theory and topsis method

W Ju, J Wu, Q Kang, J Jiang, Z Xing - Sustainability, 2022 - mdpi.com
With the rapid development of urban modernization, traffic congestion, travel delays, and
other related inconveniences have become central features in people's daily lives. The …

Advanced intrusion detection in MANETs: A survey of machine learning and optimization techniques for mitigating black/gray hole attacks

SM Hassan, MM Mohamad, FB Muchtar - IEEE Access, 2024 - ieeexplore.ieee.org
Mobile Ad Hoc Networks (MANETs) are dynamic networks without fixed infrastructure,
making them particularly vulnerable to security threats such as black and gray hole attacks …

A new deep Q-network design for QoS multicast routing in cognitive radio MANETs

TN Tran, TV Nguyen, K Shim, DB Da Costa… - IEEE Access, 2021 - ieeexplore.ieee.org
In this paper, we propose a new deep Q-network (DQN) design for quality-of-service (QoS)
multicast routing (DQMR) protocol to establish efficient QoS multicast (EQM) trees in …

An efficient clustering approach for optimized path selection and route maintenance in mobile ad hoc networks

R Vatambeti, S Sanshi, DP Krishna - Journal of Ambient Intelligence and …, 2023 - Springer
Mobile ad hoc network (MANET) is arranged with multiple nodes that communicate
wirelessly. However, MANET communication suffers from various issues such as inadequate …

DQR: A deep reinforcement learning-based QoS routing protocol in cognitive radio mobile ad hoc networks

TN Tran, TV Nguyen, K Shim… - … Conference on Electronics …, 2021 - ieeexplore.ieee.org
In this paper, we propose a novel deep reinforcement learning-based quality-of-service
routing (DQR) protocol to establish the best route with minimum end-to-end queuing delay …

WALS: A Lightweight Stateless Label Switching Framework Based on Prime Theorem for MANETs

WK Jia, CM Yu - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
This article proposes an innovative unicast/multicast unified, cross-layer, and control/user-
plane splitting forwarding method, called wireless arithmetic label switching (WALS), for …

Secure and Reliable IoT Communication in Underlay CRN With Imperfect CSI

A Kumar, DNK Jayakody… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
The Internet of Things (IoT) is a rapidly growing network of interconnected devices that has
the potential to revolutionize many industries and sectors. However, IoT devices are often …

Federated Blockchain-Based Clustering Protocol for Enhanced Security and Connectivity in FANETs With CF-mMIMO

Y Pramitarini, RHY Perdana, K Shim… - IEEE Internet of Things …, 2025 - ieeexplore.ieee.org
In this paper, we propose a novel federated blockchain (FedChain)-based clustering
protocol to enhance network security and connectivity in flying ad hoc networks (FANETs) …

Coalition Game Based Distributed Clustering Approach for Group Oriented Unmanned Aerial Vehicle Networks

M Zhang, J Li, X Wu, X Wang - Drones, 2023 - mdpi.com
Clustering is an effective solution to improve the management efficiency of large-scale
systems. One one hand, UAVs performing the same task have a similar moving tendency …