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Trust-based adaptive routing for smart grid systems

Citation

Xiang, M and Bai, Q and Liu, W, Trust-based adaptive routing for smart grid systems, Journal of Information Processing, 22, (2) pp. 210-218. ISSN 0387-5806 (2014) [Refereed Article]

Copyright Statement

Copyright 2014 Information Processing Society of Japan

DOI: doi:10.2197/ipsjjip.22.210

Abstract

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.

Item Details

Item Type:Refereed Article
Keywords:Smart Grid, wireless mesh network, trust-based geographical routing, vulnerabilities and attacks, energy efficiency
Research Division:Information and Computing Sciences
Research Group:Computer vision and multimedia computation
Research Field:Pattern recognition
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Application software packages
UTAS Author:Bai, Q (Dr Quan Bai)
ID Code:140669
Year Published:2014
Deposited By:Information and Communication Technology
Deposited On:2020-09-01
Last Modified:2020-10-23
Downloads:0

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