Blockchain and Edge Computing Empowered Battlefield Spectrum Management Architecture

This paper addresses the complex demands of electromagnetic spectrum management in modern, high-density battlefield environments by introducing an innovative architecture that leverages blockchain and edge computing technologies. The proposed system bolsters data security and ensures integrity via blockchain's verification processes, while employing queueing theory and discrete-time Markov models to facilitate dynamic spectrum allocation. A key contribution is the Multi-Agent Spectrum Offloading Algorithm (MSSOA), engineered to optimize spectrum task offloading in a decentralized fashion. Simulations indicate that MSSOA excels over existing algorithms in execution efficiency and energy usage, marking a significant advancement in battlefield spectrum management. The research validates the efficacy of the proposed method through experimental results, offering a novel and impactful approach to spectrum management with substantial theoretical and practical value.

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Publication Details

Journal
IEEE Transactions on Vehicular Technology
Published
2025-05-20
DOI
https://doi.org/10.1109/tvt.2025.3571776
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
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article

Blockchain and Edge Computing Empowered Battlefield Spectrum Management Architecture

Shifei Tao, Nan Hu, Jie Hou, Xi Chen et al.
IEEE Transactions on Vehicular Technology
Blockchain Technology Applications and Security
article

Blockchain and Edge Computing Empowered Battlefield Spectrum Management Architecture

Shifei Tao, Nan Hu, Jie Hou, Xi Chen, Zhengwei Hou, Hao Wang
article en

Abstract

This paper addresses the complex demands of electromagnetic spectrum management in modern, high-density battlefield environments by introducing an innovative architecture that leverages blockchain and edge computing technologies. The proposed system bolsters data security and ensures integrity via blockchain's verification processes, while employing queueing theory and discrete-time Markov models to facilitate dynamic spectrum allocation. A key contribution is the Multi-Agent Spectrum Offloading Algorithm (MSSOA), engineered to optimize spectrum task offloading in a decentralized fashion. Simulations indicate that MSSOA excels over existing algorithms in execution efficiency and energy usage, marking a significant advancement in battlefield spectrum management. The research validates the efficacy of the proposed method through experimental results, offering a novel and impactful approach to spectrum management with substantial theoretical and practical value.

IEEE Transactions on Vehicular TechnologyVol. 74(10)
Nanjing University of Science and Technology (CN)
Openalex Percentile: Top 85%
Blockchain Technology Applications and Security
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Blockchain and Edge Computing Empowered Battlefield Spectrum Management Architecture — Shifei Tao, Nan Hu, et al. · IEEE Transactions on Vehicular Technology (2025) | TGRS Research Map | TGRS