University of Tasmania
Browse

File(s) under permanent embargo

Trust-based adaptive routing for smart grid systems

journal contribution
posted on 2023-05-20, 17:24 authored by Xiang, M, Quan BaiQuan Bai, Liu, W
Smart Grid is the trend of next generation electrical power system which makes the power grid intelligent and energy efficient. It requires high level of network reliability to support the two-way communication among electrical services, electrical units such as smart meters, and applications. The wireless mesh network infrastructure can provide redundant routes for the Smart Grid communication network to ensure the network availability. Also due to its high level of flexibility and scalability features that make it become a promising solution for Smart Grid. However, similar with many other distributed ad-hoc networks, trust is a critical issue for wireless mesh networks. In this paper, we proposed a novel trust-based geographical routing protocol, named as Dynamic Trust Elective Geo Routing (DTEGR), which allows peers in a Smart Grid system to adjust their interaction behaviors based on the trustworthiness of others. The simulation studies have confirmed that DTEGR can achieve better routing performance in different network scenarios, and also to achieve high level of reliable data transmission in Smart Grid communication networks.

History

Publication title

Journal of Information Processing

Volume

22

Pagination

210-218

ISSN

0387-5806

Department/School

School of Information and Communication Technology

Publisher

Information Processing Society of Japan

Place of publication

Japan

Rights statement

Copyright 2014 Information Processing Society of Japan

Repository Status

  • Restricted

Socio-economic Objectives

Application software packages

Usage metrics

    University Of Tasmania

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC