Energy-efficient framework for data gathering in wireless sensor networks via the combination of sleeping MAC and data aggregation strategies

Kafetzoglou, S; Papavassiliou, S

dc.contributor.author	Kafetzoglou, S	en
dc.contributor.author	Papavassiliou, S	en
dc.date.accessioned	2014-03-01T01:35:38Z
dc.date.available	2014-03-01T01:35:38Z
dc.date.issued	2011	en
dc.identifier.issn	1748-1279	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/21135
dc.subject	Cross-layer design	en
dc.subject	Data aggregation	en
dc.subject	Data gathering	en
dc.subject	Energy efficiency	en
dc.subject	Wireless sensor networks	en
dc.subject	WSNs	en
dc.subject.other	MEDIUM ACCESS-CONTROL	en
dc.title	Energy-efficient framework for data gathering in wireless sensor networks via the combination of sleeping MAC and data aggregation strategies	en
heal.type	journalArticle	en
heal.identifier.primary	10.1504/IJSNET.2011.040899	en
heal.identifier.secondary	http://dx.doi.org/10.1504/IJSNET.2011.040899	en
heal.language	English	en
heal.publicationDate	2011	en
heal.abstract	In this paper, we introduce and evaluate a data collection and transmission paradigm in Wireless Sensor Networks (WSNs), where the primary objective is energy efficiency, while at the same time it is flexible and adaptive to support various Quality of Service (QoS) application constraints. The proposed framework combines two different energy-saving methods, one at the application layer, namely data aggregation, and one at the Medium Access Control (MAC) layer by appropriately adopting sleeping mechanisms. This is achieved by following a cross-layer approach where local information about the status of each sensor, including its sleep/awake schedules, feeds a subsequent data aggregation phase, which gathers correlated data and aggregates it to a single packet towards its way to the sink by applying a fully localised, distributed, probabilistic method. Simulation results demonstrate the significant energy savings achieved by our proposed framework, especially when compared to conventional MAC layer approaches and/or data aggregation approaches. © 2011 Inderscience Enterprises Ltd.	en
heal.publisher	INDERSCIENCE ENTERPRISES LTD	en
heal.journalName	International Journal of Sensor Networks	en
dc.identifier.doi	10.1504/IJSNET.2011.040899	en
dc.identifier.isi	ISI:000293724500002	en
dc.identifier.volume	10	en
dc.identifier.issue	1-2	en
dc.identifier.spage	3	en
dc.identifier.epage	13	en