Transaction fees optimization in the Ethereum blockchain

In blockchains, transaction fees are fixed by the users. The probability for a transaction to be processed quickly increases with the fee level. In this paper, we study the transaction fee optimization problem in the Ethereum blockchain. This problem consists of determining the minimum price a user should pay so that its transaction is processed with a given probability in a given amount of time. To reach this goal, we define a new solution method based on a Monte Carlo approach to predict the probability that a transaction will be mined within a given time limit. Numerical results on real data highlight the quality of the results.

Automated summary

This paper studies the transaction fee optimization problem in the Ethereum blockchain and proposes a solution based on the Monte Carlo method to predict the probability of a transaction being mined. Numerical results validate the effectiveness of the proposed method.