Socially-inspired topology improvements in wireless multi-hop networks

Stai, E; Karyotis, V; Papavassiliou, S

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	https://dspace.lib.ntua.gr/xmlui/handle/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	http://dx.doi.org/10.1109/ICCW.2010.5503927	en
heal.identifier.secondary	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