Socially-inspired topology improvements in wireless multi-hop networks

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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 2014-03-01T02:46:59Z
dc.date.available 2014-03-01T02:46:59Z
dc.date.issued 2010 en
dc.identifier.uri http://hdl.handle.net/123456789/32977
dc.subject Continuum theory en
dc.subject Multi-hop networks en
dc.subject Network science en
dc.subject Social structure en
dc.subject Topology control en
dc.subject.other Analysis and simulation en
dc.subject.other Artificial networks en
dc.subject.other Average path length en
dc.subject.other Clustering coefficient en
dc.subject.other Communication links en
dc.subject.other Continuum theory en
dc.subject.other Core structure en
dc.subject.other Graph structures en
dc.subject.other Multihop networks en
dc.subject.other Network graph en
dc.subject.other Network science en
dc.subject.other Node pairs en
dc.subject.other Optimal networks en
dc.subject.other Single structure en
dc.subject.other Small world networks en
dc.subject.other Social structure en
dc.subject.other Topology control en
dc.subject.other Wireless communication services en
dc.subject.other Wireless multi-hop network en
dc.subject.other Communication en
dc.subject.other Computer simulation en
dc.subject.other Continuum mechanics en
dc.subject.other Topology en
dc.subject.other Wireless telecommunication systems en
dc.subject.other Wireless networks en
dc.title Socially-inspired topology improvements in wireless multi-hop networks en
heal.type conferenceItem en
heal.identifier.primary 10.1109/ICCW.2010.5503927 en
heal.identifier.secondary 5503927 en
heal.identifier.secondary http://dx.doi.org/10.1109/ICCW.2010.5503927 en
heal.publicationDate 2010 en
heal.abstract Several graph structures have emerged for describing different network types and the interactions among their entities. Various properties have been identified in each of these network graphs, with no single structure bearing all the desired features that would constitute it an optimal network graph. This work aims for the first time at infusing the desired properties of a small-world network into the core structure of a wireless multi-hop network, thus embedding social structure on an artificial network that emerges in the development of wireless communication services. In this paper, topology control based approaches are proposed, serving the purpose of adding communication links in a multi-hop network in an intelligent and effective manner. Through analysis and simulation, we demonstrate how the proposed methods decrease the average path length between randomly selected node pairs and properly scale the clustering coefficient of a multi-hop network, by exploiting social structure characteristics of small-world networks, thus allowing the development of more demanding services on top of wireless multi-hop networks. ©2010 IEEE. en
heal.journalName 2010 IEEE International Conference on Communications Workshops, ICC 2010 en
dc.identifier.doi 10.1109/ICCW.2010.5503927 en

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