A Novel Data Gathering Framework for Resource-constrained Underwater 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	2014-03-01T01:27:46Z
dc.date.available	2014-03-01T01:27:46Z
dc.date.issued	2008	en
dc.identifier.issn	1551-9899	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/18565
dc.relation.uri	http://www.informatik.uni-trier.de/~ley/db/journals/ahswn/ahswn5.html#KafetzoglouAP08	en
dc.subject	Data gathering	en
dc.subject	resource-constrained sensor networks	en
dc.subject	underwater sensor networks	en
dc.subject.other	AGGREGATION	en
dc.title	A Novel Data Gathering Framework for Resource-constrained Underwater Sensor Networks	en
heal.type	journalArticle	en
heal.language	English	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 proposed framework is ideal for application in underwater sensor networking environments, which on top of the conventional sensor technology limitations, present additional constraints such as limited bandwidth and large propagation delays. The newly 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. The corresponding tree is constructed by a simple leveling algorithm and is used to forward packets in the network. In the second phase, due to the fact that the environment under consideration is severely resource constrained, 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.	en
heal.publisher	OLD CITY PUBLISHING INC	en
heal.journalName	AD HOC & SENSOR WIRELESS NETWORKS	en
dc.identifier.isi	ISI:000262993900008	en
dc.identifier.volume	5	en
dc.identifier.issue	3-4	en
dc.identifier.spage	313	en
dc.identifier.epage	329	en