On the efficient data gathering in large scale autonomous bandwidth-limited sensor networks

Kafetzoglou, S; Alexandropoulou, M; Papavassiliou, S

dc.contributor.author	Kafetzoglou, S	en
dc.contributor.author	Alexandropoulou, M	en
dc.contributor.author	Papavassiliou, S	en
dc.date.accessioned	2014-03-01T02:45:42Z
dc.date.available	2014-03-01T02:45:42Z
dc.date.issued	2008	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32333
dc.subject	Bandwidth limitations	en
dc.subject	Data aggregation	en
dc.subject	Data gathering	en
dc.subject	Resource constraints	en
dc.subject	Wireless sensor networks	en
dc.subject.other	Agglomeration	en
dc.subject.other	Computer networks	en
dc.subject.other	Internet	en
dc.subject.other	Sensors	en
dc.subject.other	Telecommunication equipment	en
dc.subject.other	Wireless sensor networks	en
dc.subject.other	Bandwidth limitations	en
dc.subject.other	Data aggregation	en
dc.subject.other	Data gathering	en
dc.subject.other	Resource constraints	en
dc.subject.other	Sensor networks	en
dc.title	On the efficient data gathering in large scale autonomous bandwidth-limited sensor networks	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ISWPC.2008.4556261	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ISWPC.2008.4556261	en
heal.identifier.secondary	4556261	en
heal.publicationDate	2008	en
heal.abstract	In this paper a novel data gathering framework for resource-constrained sensor networks is introduced and evaluated. The introduced framework consists mainly of two phases. Initially, due to the lack of infrastructure, a simple bridging technique is used to create a multi-hop tree rooted at the collection center. In the second phase, a distributed and probabilistic method is applied by the various sensor nodes to perform data aggregation based on their position (level) on the data gathering tree. The adopted aggregation approach aims at utilizing the available limited resources efficiently and effectively reducing significantly the network traffic, and as a result shortening the delays at the intermediate nodes and reducing the corresponding collisions and energy wastage in data transmission. The performance gains that can be achieved by the proposed data aggregation framework are evaluated via modeling and simulation, under different aggregation scenarios and traffic loads. © 2008 IEEE.	en
heal.journalName	3rd International Symposium on Wireless Pervasive Computing, ISWPC 2008, Proceedings	en
dc.identifier.doi	10.1109/ISWPC.2008.4556261	en
dc.identifier.spage	513	en
dc.identifier.epage	517	en