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dc.contributor.advisorHenderson, Tristan
dc.contributor.authorBigwood, Greg
dc.coverage.spatial173en_US
dc.date.accessioned2012-10-25T12:49:40Z
dc.date.available2012-10-25T12:49:40Z
dc.date.issued2012-06-19
dc.identifieruk.bl.ethos.559292
dc.identifier.urihttps://hdl.handle.net/10023/3225
dc.description.abstractOpportunistic networks provide an ad hoc communication medium without the need for an infrastructure network, by leveraging human encounters and mobile devices. Routing protocols in opportunistic networks frequently rely upon encounter histories to build up meaningful data to use for informed routing decisions. This thesis shows that it is possible to use pre-existing social-network information to improve existing opportunistic routing protocols, and that these self-reported social networks have a particular benefit when used to bootstrap an opportunistic routing protocol. Frequently, opportunistic routing protocols require users to relay messages on behalf of one another: an act that incurs a cost to the relaying node. Nodes may wish to avoid this forwarding cost by not relaying messages. Opportunistic networks need to incentivise participation and discourage the selfish behaviour. This thesis further presents an incentive mechanism that uses self-reported social networks to construct and maintain reputation and trust relationships between participants, and demonstrates its superior performance over existing incentive mechanisms.en_US
dc.language.isoenen_US
dc.publisherUniversity of St Andrews
dc.subject.lccTK5105.5487B5
dc.subject.lcshRouting (Computer network management)en_US
dc.subject.lcshRouting protocols (Computer network protocols)en_US
dc.subject.lcshOnline social networks.en_US
dc.titleUsing self-reported social networks to improve opportunistic networkingen_US
dc.typeThesisen_US
dc.type.qualificationlevelDoctoralen_US
dc.type.qualificationnamePhD Doctor of Philosophyen_US
dc.publisher.institutionThe University of St Andrewsen_US


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