Adaptive protocol of raft in wireless network

Yu, D., Wu, H., Sun, Y. , Zhang, L. and Imran, M. (2024) Adaptive protocol of raft in wireless network. Ad Hoc Networks, 154, 103377. (doi: 10.1016/j.adhoc.2023.103377)

Abstract

Original distributed consensus algorithms are typically engineered with wired communication networks in mind. However, when these algorithms are applied in wireless networks, the unique characteristics of wireless communication among nodes, including high error rates, variable latency, and dynamic network topology, present novel challenges that necessitate the development of adaptive protocols. This article aims to address these challenges by designing an adaptive protocol specifically for the implementation of the Raft consensus algorithm within wireless environments. We first outline the key stages of this adaptive protocol, focusing on enhancing robustness and efficiency in the state synchronization and routing processes, which are demonstrated through extensive simulations. The proposed adaptive protocol intends to ensure consistent states across nodes in wireless networks, which promote reliable and effective distributed systems for a variety of applications in autonomous wireless networks, including Vehicle-to-everything (V2X), Internet of Things (IoT), and edge computing.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Wu, Huanyu and Yu, Dachao and Zhang, Professor Lei and Imran, Professor Muhammad and Sun, Dr Yao

Creator Roles

Yu, D.: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Software, Visualization, Writing – original draft, Writing – review and editing
Wu, H.: Validation, Writing – original draft
Sun, Y.: Methodology, Writing – original draft, Writing – review and editing
Zhang, L.: Resources, Supervision, Writing – original draft, Writing – review and editing
Imran, M.: Funding acquisition, Project administration, Supervision

• Authors: Yu, D., Wu, H., Sun, Y., Zhang, L., and Imran, M.
• College/School: College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
• Journal Name: Ad Hoc Networks
• Publisher: Elsevier
• ISSN: 1570-8705
• ISSN (Online): 1570-8713
• Published Online: 04 December 2023
• Copyright Holders: Copyright © 2023 Elsevier B.V
• First Published: First published in Ad Hoc Networks 154:103377
• Publisher Policy: Reproduced in accordance with the publisher copyright policy