Distributed-Proof-of-Sense: Blockchain Consensus Mechanisms for Detecting Spectrum Access Violations of the Radio Spectrum

Warnakulasuriya Pramitha V Fernando, Keshawa Dadallage, Tharindu Gamage, Chathura Seneviratne, An Braeken, Arjuna Madanayake, Madhusanka Liyanage

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)
4 Downloads (Pure)

Abstract

The exponential growth in connected devices with Internet-of-Things (IoT) and next-generation wireless networks requires more advanced and dynamic spectrum access mechanisms. Blockchain-based approaches to Dynamic Spectrum Access (DSA) seem efficient and robust due to their inherited characteristics such as decentralization, immutability, and transparency. However, conventional consensus mechanisms used in blockchain networks are expensive to be used due to the cost, processing, and energy constraints. Moreover, addressing spectrum violations (i.e., unauthorized access to the spectrum) is not well-discussed in most blockchain-based DSA systems in the literature. In this work, we propose a newly tailored energy-efficient consensus mechanism called 'Distributed-Proof-of-Sense (DPoS)' that is specially designed to enable DSA and detect spectrum violations. The proposed consensus algorithm motivates blockchain miners to perform spectrum sensing, which leads to the collection of a full spectrum of sensing data. An elliptic curve cryptography-based zero-knowledge proof is used as the core of the proposed mechanism. We use MATLAB simulations to analyze the performance of the consensus mechanism and implement several consensus algorithms in a microprocessor to highlight the benefits of adopting the proposed system.

Original languageEnglish
Pages (from-to)1110 - 1125
Number of pages16
JournalIEEE Transactions on Cognitive Communications and Networking
Volume9
Issue number5
DOIs
Publication statusPublished - 1 Oct 2023

Bibliographical note

Funding Information:
This work is partly supported by European Union in the CONFIDENTIAL-6G project (Grant ID. 101096435) and by Science Foundation Ireland under CONNECT phase 2 (Grant no. 13/RC/2077_P2) project.

Publisher Copyright:
© 2015 IEEE.

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