A tool for calculating energy consumption in Wireless Sensor Networks

Dimitriou, G; Kikiras, PK; Stamoulis, GI; Avaritsiotis, IN

dc.contributor.author	Dimitriou, G	en
dc.contributor.author	Kikiras, PK	en
dc.contributor.author	Stamoulis, GI	en
dc.contributor.author	Avaritsiotis, IN	en
dc.date.accessioned	2014-03-01T02:43:05Z
dc.date.available	2014-03-01T02:43:05Z
dc.date.issued	2005	en
dc.identifier.issn	0302-9743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31224
dc.subject	Behavior Modeling	en
dc.subject	Building Block	en
dc.subject	Energy Consumption	en
dc.subject	Power Consumption	en
dc.subject	Sensor Nodes	en
dc.subject	Wireless Sensor Network	en
dc.subject.classification	Computer Science, Theory & Methods	en
dc.subject.other	Computer simulation	en
dc.subject.other	Energy utilization	en
dc.subject.other	Mathematical models	en
dc.subject.other	Parameter estimation	en
dc.subject.other	Sensors	en
dc.subject.other	AVAKIS	en
dc.subject.other	Behavioral model	en
dc.subject.other	Building blocks	en
dc.subject.other	Wireless Sensor Networks	en
dc.subject.other	Mobile telecommunication systems	en
dc.title	A tool for calculating energy consumption in Wireless Sensor Networks	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/11573036_58	en
heal.identifier.secondary	http://dx.doi.org/10.1007/11573036_58	en
heal.language	English	en
heal.publicationDate	2005	en
heal.abstract	Energy and total useful lifetime are primary design concerns of fundamental importance, in a variety of real life applications, where the deployment of a Wireless Sensor Network is desired. In this paper the authors introduce AVAKIS, a tool for calculating the energy consumption of the various components of a sensor node. The proposed tool is an architectural level simulator, in which the system building blocks are described by a high level behavioral model. The methodology used in order to estimate power consumption is based on both the characteristics of the components, and on a number of userdefined initialization parameters. © Springer-Verlag Berlin Heidelberg 2005.	en
heal.publisher	SPRINGER-VERLAG BERLIN	en
heal.journalName	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en
heal.bookName	LECTURE NOTES IN COMPUTER SCIENCE	en
dc.identifier.doi	10.1007/11573036_58	en
dc.identifier.isi	ISI:000233675500058	en
dc.identifier.volume	3746 LNCS	en
dc.identifier.spage	611	en
dc.identifier.epage	621	en