Implementation of an energy-efficient secure clustering algorithm with trusted path for flying ad hoc networks

Flying Ad Hoc Networks (FANETs) connects the Unmanned Aerial Vehicles (UAVs) for data transmission. The main critical challenge is secure, energy-efficient, and reliable communication between UAVs due to high mobility, limited energy resources, and vulnerability to routing attacks. To overcome this...

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Veröffentlicht in:Wireless networks Jg. 31; H. 8; S. 4929 - 4943
1. Verfasser: Ananthi, J. Vijitha
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Springer US 01.12.2025
Springer Nature B.V
Schlagworte:
Ad hoc networks
Algorithms
Biomedical data
Clustering
Communication
Communications Engineering
Computer Communication Networks
Cryptography
Data transmission
Digital twins
Electrical Engineering
Emergency preparedness
Energy consumption
Energy efficiency
Energy management
Energy sources
Engineering
Flight
Internet of Things
IT in Business
Machine learning
Network latency
Networks
Optimization techniques
Original Paper
Protocol
Quality of service
Residual energy
Route optimization
Routing (telecommunications)
Surveillance
Trustworthiness
Unmanned aerial vehicles
Clustering scheme
Energy aware
Secure communication
FANET
Routing attacks
Trust aware
ISSN:1022-0038, 1572-8196
Online-Zugang:Volltext
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Zusammenfassung:Flying Ad Hoc Networks (FANETs) connects the Unmanned Aerial Vehicles (UAVs) for data transmission. The main critical challenge is secure, energy-efficient, and reliable communication between UAVs due to high mobility, limited energy resources, and vulnerability to routing attacks. To overcome this issue, a novel Energy Efficient Secured Cluster Routing Algorithm (EESCRA) that integrates energy-aware and trust-based clustering with secure intra- and inter-cluster routing has been proposed in this research. The algorithm provides a dynamic Cluster Head selection based on residual energy and trust values to identify malicious UAV users and maintain secure communication. Simulation results are conducted using NS (Network Simulator) -2.35 simulation software by varying 100–500 UAV nodes with different mobility conditions (100 m/s and 200 m/s). The performance of the proposed method is compared with the existing schemes such as Secured Cluster-based Fuzzy Scheme and Unique and Secure Routing Protocol using key Quality-of-Service metrics: throughput, success rate, drop rate, delay, residual energy, and normalized routing overhead. The results demonstrate that EESCRA significantly enhances packet delivery, reduces energy consumption, and minimizes overhead and latency, particularly in high-speed, large-scale UAV networks. Specifically, EESCRA achieves a 15% increase in throughput, 20% improvement in packet delivery rate, and 25% reduction in energy consumption, compared to the existing schemes. Moreover, it reduces the routing overhead and latency by approximately 18% and 22%, respectively, under different mobility conditions. The proposed framework provides an efficient and secure routing strategy, suitable for critical FANET applications such as surveillance, disaster monitoring, and biomedical data transmission.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ISSN:1022-0038
1572-8196
DOI:10.1007/s11276-025-04032-z