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dc.contributor.authorXiang, Men_NZ
dc.contributor.authorBai, Qen_NZ
dc.contributor.authorLiu, Wen_NZ
dc.date.accessioned2018-01-17T23:19:17Z
dc.date.available2018-01-17T23:19:17Z
dc.date.copyright2014-04-09en_NZ
dc.identifier.citationJournal of Information Processing, doi: 10.2197/ipsjjip.22.210
dc.identifier.urihttp://hdl.handle.net/10292/11082
dc.description.abstractSmart 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 commu nication 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 Electi ve Geo Routing (DTEGR), which allows peers in a smart grid system to adjust their interaction behaviours 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.en_NZ
dc.relation.urihttps://www.jstage.jst.go.jp/article/ipsjjip/22/2/22_210/_article/-char/jaen_NZ
dc.rightsIPSJ Copyright Guidelines Article 5, Part 5 allows this if paper is posted on author's own website, or author's organization's website. Author does not need to notify IPSJ, but should indicate the source and the notice on its usage
dc.subjectSmart Grid; Wireless mesh network; Trust-based geographical routing; Vulnerabilities and attacks; Energy efficiency
dc.titleTrust-based Adaptive Routing for Smart Grid Systemsen_NZ
dc.typeJournal Article
dc.rights.accessrightsOpenAccessen_NZ
dc.identifier.doi10.2197/ipsjjip.22.210
aut.relation.pages9
pubs.elements-id157247
aut.relation.journalSpecial Issue of Multiagent-based Societal Systems in Journal of Information Processing (accepted and under revision, to be published on the J-Stage website in April, 2014. Preprint will be published on the IPSJ Journal in April, 2014)en_NZ


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