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

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	2014-03-01T02:54:04Z
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