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Wireless multi-hop network topology control optimization and trade-off analysis

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dc.contributor.author Stai, E en
dc.contributor.author Karyotis, V en
dc.contributor.author Papavassiliou, S en
dc.date.accessioned 2014-03-01T02:54:04Z
dc.date.available 2014-03-01T02:54:04Z
dc.date.issued 2012 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/36576
dc.subject Future Internet en
dc.subject Network churn en
dc.subject Topology optimization en
dc.subject Wireless multi-hop networks en
dc.subject.other Average path length en
dc.subject.other Decomposition methods en
dc.subject.other Energy efficient en
dc.subject.other Future internet en
dc.subject.other Multi-hop radio networks en
dc.subject.other Multihop en
dc.subject.other Network re-configuration en
dc.subject.other Operational demands en
dc.subject.other Optimization methodology en
dc.subject.other Sequential quadratic programming en
dc.subject.other Small worlds en
dc.subject.other Topology modifications en
dc.subject.other Trade-off analysis en
dc.subject.other Wireless communications en
dc.subject.other Wireless multi-hop network en
dc.subject.other Electric network topology en
dc.subject.other Energy utilization en
dc.subject.other Internet en
dc.subject.other Shape optimization en
dc.subject.other Topology en
dc.subject.other Wireless networks en
dc.subject.other Optimization en
dc.title Wireless multi-hop network topology control optimization and trade-off analysis en
heal.type conferenceItem en
heal.identifier.primary 10.1109/SARNOF.2012.6222762 en
heal.identifier.secondary http://dx.doi.org/10.1109/SARNOF.2012.6222762 en
heal.identifier.secondary 6222762 en
heal.publicationDate 2012 en
heal.abstract Future communications require distributed, adjustable and energy-efficient wireless topologies. Network churn based topology modification mechanisms have been shown to achieve such goals by infusing small-world properties in multi-hop radio networks, thus improving network reconfiguration and end-to-end capabilities. Towards further enhancing such mechanisms, in this work, we present an optimization methodology that analyzes and properly balances the underlying node and edge churn sub-mechanisms of network churn modification. The emerging optimization is non-linear in the general case and we employ sequential quadratic programming and decomposition methods to tackle it. By exploiting the obtained solutions, we demonstrate the efficacy of the optimization and analyze the inherent wireless trade-off between energy consumption and average path length. We show that when energy consumption is of interest, node churn based control should be preferred, while in order to increase performance, edge churn is more suitable. Thus, the proposed optimization methodology enables efficient and targeted control of multi-hop wireless communications for the Future Internet at various scales and operational demands. © 2012 IEEE. en
heal.journalName 35th IEEE Sarnoff Symposium, SARNOFF 2012 - Conference Proceedings en
dc.identifier.doi 10.1109/SARNOF.2012.6222762 en


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