International Journal of Industrial Optimization (IJIO)
Vol. 3 No. 2 (2022)

Ecpoc: an evolutionary computation-based proof of criteria consensus protocol

Thang Nguyen (Hanoi University of Science and Technology)
Hoang-Nam Dinh (Hanoi University of Science and Technology)
Van-Thanh Nguyen (Hanoi University of Science and Technology)
Bao Son Do (University of Transport Technology)
Thi Tam Nguyen (University of Science, Vietnam National University)
Ba Lam Do (Hanoi University of Science and Technology)



Article Info

Publish Date
20 Sep 2022

Abstract

Recently, blockchain technology has been applied in many domains in our life. Blockchain networks typically utilize a consensus protocol to achieve consistency among network nodes in a decentralized environment. Delegated Proof of Stake (DPoS) is a popular mechanism adopted in many networks such as BitShares, EOS, and Cardano because of its speed and scalability advantages. However, votes that come from nodes on a DPoS network tend to support a set of specific nodes that have a greater chance of becoming block producers after voting rounds. Therefore, only a small group of nodes can be selected to become block producers. To address this issue, we propose a new protocol called Evolutionary Computation-based Proof of Criteria (ECPoC), which uses ten criteria to evaluate and select a new block procedure in each round. Next, a set of optimal weights used for maximizing the network’s decentralization level is identified through the use of evolutionary computation algorithms. The experimental results show that our consensus significantly enhances the degree of decentralization in the selection process of witness nodes compared to DPoS. As a result, ECPoC facilitates fairness between nodes and creates momentum for blockchain network development

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Journal Info

Abbrev

ijio

Publisher

Subject

Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering

Description

The Journal invites original articles and not simultaneously submitted to another journal or conference. The whole spectrums of Industrial Engineering are welcome but are not limited to Metaheuristics, Simulation, Design of Experiment, Data Mining, and Production System. 1. Metaheuristics: ...