Article
Version 1
Preserved in Portico This version is not peer-reviewed
Random Authentication Node Selection Mechanism in Block Network for Meta-Mobility Service Data Reliability
Version 1
: Received: 16 August 2023 / Approved: 16 August 2023 / Online: 17 August 2023 (09:55:13 CEST)
A peer-reviewed article of this Preprint also exists.
Kim, J.; Choi, E.; Kim, B.-G.; Park, N. Proposal of a Token-Based Node Selection Mechanism for Node Distribution of Mobility IoT Blockchain Nodes. Sensors 2023, 23, 8259. Kim, J.; Choi, E.; Kim, B.-G.; Park, N. Proposal of a Token-Based Node Selection Mechanism for Node Distribution of Mobility IoT Blockchain Nodes. Sensors 2023, 23, 8259.
Abstract
. Various elements such as evolutions in IoT services resulting from sensoring by vehicle parts and advances in small communication technology devices have significantly impacted the mass spread of mobility services that are provided to users in need of limited resources. In particular, business models are progressing away from one-off cost towards longer term cost as represented by shared services utilizing kick-boards or bicycles and subscription services for vehicle software. Advances in shared mobility services as described are calling for solutions that can enhance reliability of data aggregate by users leveraging mobility services in the next-generation mobility areas. However, mining process to renew status, ensures continued network communication and block creation demands high performance in public block chain. This thesis proposes random certificate node selection mechanism in block network that creates blocks via node that has tokens issued for block creation and lets only specific nodes selected by encrypting token information acquires token.
Keywords
Blockchain; Mobility; Random Selection; Encoding; Token
Subject
Computer Science and Mathematics, Computer Science
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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