A Unified Incentive Framework for Analysing Fees and Rewards in Distributed Ledgers

The rapid advancements in distributed ledger technology (DLT) have produced novel systems combining high throughput, low latency and smart contract programmability. However, designing robust incentives schemes for such advanced protocols remains a critical challenge. Weaknesses in existing incentives schemes, particularly in reward distribution and incentive alignment, can hinder protocol adoption and long-term sustainability. In this paper, we propose a unified framework for comprehensive analysis of a wide range of DLTs, including those with leaderless consensus. Our framework extends existing methodologies for studying transaction fee mechanisms by incorporating reward distribution mechanisms, addressing critical gaps in the literature. Specifically, we introduce a categorisation of incentive mechanisms, evaluate their compatibility with a selection of modern DLTs, and propose enhancements to align validators’ incentives with the network goals. We discuss and apply the above framework in the context of leaderless consensus protocols such as Sui and IOTA, offering comparisons with more ‘traditional’ systems including Ethereum and Bitcoin.

Publication Details

Published
2025-06-02
DOI
https://doi.org/10.1109/icbc64466.2025.11114624
Primary Topic
Genomics and Phylogenetic Studies
Type
article
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article

A Unified Incentive Framework for Analysing Fees and Rewards in Distributed Ledgers

Genomics and Phylogenetic Studies
article

A Unified Incentive Framework for Analysing Fees and Rewards in Distributed Ledgers

article en

Abstract

The rapid advancements in distributed ledger technology (DLT) have produced novel systems combining high throughput, low latency and smart contract programmability. However, designing robust incentives schemes for such advanced protocols remains a critical challenge. Weaknesses in existing incentives schemes, particularly in reward distribution and incentive alignment, can hinder protocol adoption and long-term sustainability. In this paper, we propose a unified framework for comprehensive analysis of a wide range of DLTs, including those with leaderless consensus. Our framework extends existing methodologies for studying transaction fee mechanisms by incorporating reward distribution mechanisms, addressing critical gaps in the literature. Specifically, we introduce a categorisation of incentive mechanisms, evaluate their compatibility with a selection of modern DLTs, and propose enhancements to align validators’ incentives with the network goals. We discuss and apply the above framework in the context of leaderless consensus protocols such as Sui and IOTA, offering comparisons with more ‘traditional’ systems including Ethereum and Bitcoin.

Openalex Percentile: Top 48%
Genomics and Phylogenetic Studies
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