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Self-adjustable trust-based energy efficient routing for smart grid systems


Xiang, M and Bai, Q and Liu, W, Self-adjustable trust-based energy efficient routing for smart grid systems, Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 4-7 December 2012, Macau, China, pp. 378-382. ISBN 9780769548807 (2012) [Refereed Conference Paper]

Copyright Statement

Copyright 2012 IEEE

DOI: doi:10.1109/WI-IAT.2012.89


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 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, wireless mesh network infrastructure are vulnerable to some cyber attacks which need to be addressed. In this paper, we proposed and implemented a new trust-based geographical routing protocol, named as Dynamic Trust Elective Geo Routing (DTEGR), which use the trust factor with a dynamic threshold value to generate a trust forwarding list, then it uses distance factor as routing metric to decide the next hop from the trust forwarding list. The simulation studies have confirmed our new DTEGR algorithm able to achieve better routing performance in different network scenarios, and also to achieve high level of reliable data transmission in smart grid communication network.

Item Details

Item Type:Refereed Conference Paper
Keywords:Smart Grid, wireless mesh network, trust-based geographical routing, vulnearabilities and attacks, energy efficiency
Research Division:Information and Computing Sciences
Research Group:Artificial intelligence
Research Field:Intelligent robotics
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:140715
Year Published:2012
Web of Science® Times Cited:2
Deposited By:Information and Communication Technology
Deposited On:2020-09-02
Last Modified:2020-12-18

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