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Federated learning meets blockchain at 6G edge

Shiva Raj Pokhrel

202064 citationsDOI

Abstract

We consider a new blockchain empowered federated learning approach which uses wireless mobile miners at drones in the future sixth generation (6G) networks for a disaster response system. Our focus is on the blockchain latency, and energy consumption in the proposed architecture of the network of drones. Maintaining low delay in wireless communication between the drones is required to minimize blockchain forking events while performing blockchain operations. Therefore, we quantify the probability of occurrence of forking events to analyze the uncertainty of the system towards the additional energy wastage. The forked block (due to channel impairments or mobility) incurs re-computation energy. We develop pragmatic analyses of the expected energy consumption by considering the parameters like the number of miners as well as the power consumed during computing, block transfer and 6G channel dynamics for the system.

Topics & Concepts

BlockchainComputer scienceDroneEnergy consumptionBlock (permutation group theory)Mobile edge computingWirelessArchitectureComputationDistributed computingFocus (optics)Enhanced Data Rates for GSM EvolutionWireless power transferLatency (audio)Edge computingComputer networkComputer securityTelecommunicationsEngineeringOpticsGeometryAlgorithmBiologyPhysicsElectrical engineeringArtGeneticsMathematicsVisual artsUAV Applications and OptimizationPrivacy-Preserving Technologies in DataBlockchain Technology Applications and Security
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