On the modeling of data aggregation and report delivery in QoS-constrained sensor networks

Zhu, J; Papavassiliou, S; Kafetzoglou, S; Yang, J

dc.contributor.author	Zhu, J	en
dc.contributor.author	Papavassiliou, S	en
dc.contributor.author	Kafetzoglou, S	en
dc.contributor.author	Yang, J	en
dc.date.accessioned	2014-03-01T02:44:07Z
dc.date.available	2014-03-01T02:44:07Z
dc.date.issued	2006	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31695
dc.subject	Data Aggregation	en
dc.subject	Distributed Sensor Network	en
dc.subject	End To End Delay	en
dc.subject	Quality Requirement	en
dc.subject	Sensor Network	en
dc.subject	Statistical Model	en
dc.subject	Lower Bound	en
dc.subject.other	Data aggregation	en
dc.subject.other	Design parameters	en
dc.subject.other	QoS constrained sensor networks	en
dc.subject.other	Report delivery	en
dc.subject.other	Approximation theory	en
dc.subject.other	Data acquisition	en
dc.subject.other	Mathematical models	en
dc.subject.other	Parameter estimation	en
dc.subject.other	Problem solving	en
dc.subject.other	Quality of service	en
dc.subject.other	Computer networks	en
dc.title	On the modeling of data aggregation and report delivery in QoS-constrained sensor networks	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/PERCOMW.2006.105	en
heal.identifier.secondary	http://dx.doi.org/10.1109/PERCOMW.2006.105	en
heal.identifier.secondary	1599001	en
heal.publicationDate	2006	en
heal.abstract	In this paper the problem of efficient data aggregation and report delivery in QoS-constrained distributed sensor networks is investigated. An analytical statistical model is introduced, to represent the data aggregation and report delivery process in sensor networks, with specific delivery quality requirements in terms of the achievable end-to-end delay and the successful report delivery probability. Furthermore, a lower bound approximation of the corresponding successful report delivery probability is obtained. The tradeoffs among various design parameters, as well as the impact of these parameters on the successful report delivery probability and its corresponding bound, are also discussed and evaluated. © 2006 IEEE.	en
heal.journalName	Proceedings - Fourth Annual IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2006	en
dc.identifier.doi	10.1109/PERCOMW.2006.105	en
dc.identifier.volume	2006	en
dc.identifier.spage	347	en
dc.identifier.epage	351	en