Dual optimization approach in discrete Hopfield neural network

Y Guo, NE Zamri, MSM Kasihmuddin, A Alway… - Applied Soft …, 2024 - Elsevier
Having effective learning and retrieval phases of satisfiability logic in Discrete Hopfield
Neural Network models ensures optimal synaptic weight management, which consequently …

Trust based Flying ad-hoc Network: A Survey

J Kundu, S Alam, JC Das, A Dey, D De - IEEE Access, 2024 - ieeexplore.ieee.org
An efficient data transmission can be established by flying ad hoc networks (FANETs) that
emphasized the cooperation and coordination among various unmanned aerial vehicles …

Topology Duration Optimization for UAV Swarm Network under the System Performance Constraint

R Zhou, X Zhang, D Song, K Qin, L Xu - Applied Sciences, 2023 - mdpi.com
Network topology construction plays an important role in the application of large-scale
unmanned aerial vehicle (UAV) swarm. Current researches usually perform the topology …

An Intelligent Clustering Scheme Based on Whale Optimization Algorithm in Flying Ad Hoc Networks

M Hosseinzadeh, J Tanveer, F Alanazi… - Vehicular …, 2024 - Elsevier
Due to the progress of unmanned aerial vehicles (UAVs), this new technology is widely
applied in military and civilian areas. Multi-UAV networks are often known as flying ad hoc …

[HTML][HTML] Bio-Inspired Algorithms for Efficient Clustering and Routing in Flying Ad Hoc Networks

J Agrawal, MY Arafat - Sensors, 2024 - mdpi.com
The high mobility and dynamic nature of unmanned aerial vehicles (UAVs) pose significant
challenges to clustering and routing in flying ad hoc networks (FANETs). Traditional …

Bio-inspired multi-hop clustering algorithm for FANET

S Yang, TL Li, D Wu, T Hu, W Deng, H Gong - Ad Hoc Networks, 2024 - Elsevier
Clustering has received extensive attention in recent years as an important approach to
address the poor scalability in flying ad hoc networks (FANETs). However, due to the highly …

无人机集群弹性评估及重构技术研究.

韦宸越, 何明, 韩伟, 徐昕… - Journal of Computer …, 2024 - search.ebscohost.com
无人机集群在实际应用中常受地形地貌, 风雪雨雾, 防空打击等扰动因素影响,
导致集群性能下降, 任务完成能力降低. 为有效评估和提升集群抗扰能力, 从无人机集群弹性评估 …

[PDF][PDF] IMPROVE SECURITY FOR MOBILE AD HOCK NETWORK USING MODIFIED WHALE ALGORITHM AND DEEP LEARNING TECHNOLOGY

TK JEBUR - Journal of Engineering Science and Technology, 2024 - jestec.taylors.edu.my
Various networking applications require Mobile Ad-Hoc Networks (MANETs) one of these
examples are intelligent traffic management systems and security. Nonetheless, these …

Political Optimizer Based Robust Energy Aware Clustering Scheme for Flying Ad Hoc Networks

HA Rasool, Z abed Almoussawi… - … Technology and its …, 2023 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) are broadly utilized in civilian and military fields with the
continuous growth of (UAVs) technology. Multi-UAV networks were commonly termed as …

Development of an Improved Wildfire Monitoring Scheme Based on an Energy-Efficient Clustering Approach for Flying Adhoc Network

SC Gasin, MJ Musa, KA Abubilal… - ATBU Journal of …, 2024 - atbuftejoste.com.ng
Wildfires pose significant threats to ecosystems, human lives, and infrastructure. Wireless
Sensor Networks (WSNs) are widely used for applications like wildfire monitoring, but one of …