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Trust-based geographical routing for smart grid communication networks


Xiang, M and Liu, W and Bai, Q, Trust-based geographical routing for smart grid communication networks, Proceedings of the 3rd International Conference on Smart Grid Communications (SmartGridComm 2012), 5-8 November 2012, Tainan, Taiwan, pp. 704-709. ISBN 9781467309110 (2012) [Refereed Conference Paper]

Copyright Statement

Copyright 2012 IEEE

DOI: doi:10.1109/SmartGridComm.2012.6486069


Smart Grid is the trend of next generation power distribution and management network that enable interactive communication and operation between consumers and suppliers, which can achieve intelligent resource management and optimization. The wireless mesh network technology is a promising infrastructure solution to support these smart functionalities, while it has some inherent vulnerabilities and cyber-attack risks to be addressed. As Smart Grid is heavily relying on the communication network, it makes these security concerns more critical. In this paper, we have proposed and implemented a new trust-based geographical routing protocol, named as Trust-based Intelligent Geo Elective Routing (TIGER), which is integrating the distance and trust related factors into a novel routing metric, so as to tackle above problems. The extensive simulation studies confirm that our new TIGER algorithm shows promises for synthesizing trust and distance factors to achieve better routing performance, and also guarantee the reliable communications in wireless mesh infrastructure to avoid attacks in Smart Grid.

Item Details

Item Type:Refereed Conference Paper
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:140716
Year Published:2012
Deposited By:Information and Communication Technology
Deposited On:2020-09-02
Last Modified:2020-12-18

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