Fwsc-Fanet: Fig Tree–Wasp Symbiotic Coevolutionary Optimization For Joint Uav Positioning, Power Control, And Routing In Flying Ad Hoc Networks

D. Hari Prasad; T. Pradeep; K. S. Gowri Laksshmi; C. Daniel Nesakumar; S. S. Saravana Kumar; B. Narasimhan

doi:10.29284/f2xt7j78

Authors

D. Hari Prasad Associate Professor and Head, Department of Computer Applications, Sri Ramakrishna College of Arts and Science, India
T. Pradeep Assistant Professor, Department of Computer Applications, Sri Ramakrishna College of Arts and Science, India
K. S. Gowri Laksshmi Assistant Professor, Department of Computer Applications, Sri Ramakrishna College of Arts and Science, India.
C. Daniel Nesakumar Assistant Professor, Department of Computer Applications, Sri Ramakrishna College of Arts and Science, India
S. S. Saravana Kumar Assistant Professor, Department of Computer Applications, Sri Ramakrishna College of Arts and Science, India
B. Narasimhan Assistant Professor, Department of Computer Applications, Sri Ramakrishna College of Arts and Science, India

DOI:

https://doi.org/10.29284/f2xt7j78

Keywords:

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Abstract

Flying Ad Hoc Networks (FANETs) are critical for 6G-enabled applications, but existing frameworks often improve the positioning of UAVs, power control, or routing self-reliantly, which leads to a suboptimal performance. This paper presents FWSC-FANET, a Fig Tree–Wasp Symbiotic Coevolutionary Optimization framework, which equally optimizes adaptive power allocation, positioning of UAVs, and energy-aware routing. The mutualistic coevolution between “wasp” and “fig” agents confirms a balanced exploitation and exploration, enabling robust network operation under dynamic 3D mobility and changing channel conditions. Simulation studies, performed with varying UAV pause times, determine that FWSC-FANET outperforms state-of-the-art approaches, EAR-FANET [16] and DRL-FANET [17], reaching developments in network lifetime (296.4 minutes), packet delivery ratio (95.5%), throughput (17.5 Mbps), energy consumption (132.4 J), semantic accuracy (91.7%), and global fitness (0.862). These results confirm the effectiveness of FWSC-FANET for energy-efficient, resilient, and high-performance UAV networks.

Keywords - Flying Ad Hoc Networks (FANETs), UAV Positioning, Power Control, Routing, Symbiotic Coevolution, Fig Tree–Wasp Optimization, 6G Networks, Energy-Aware Routing, Global Fitness, Semantic Communication, Energy Efficiency, Resilient Networks, Intelligent Infrastructure, Innovation for Sustainability, Green Communication Systems.

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