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dc.contributor.authorHernández Pibernat, Hugo
dc.contributor.authorBlum, Christian
dc.contributor.authorMiddendorf, Martin
dc.contributor.authorRamsch, Kai
dc.contributor.authorScheidler, Alexander
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics
dc.date.accessioned2010-05-11T07:55:16Z
dc.date.available2010-05-11T07:55:16Z
dc.date.created2009
dc.date.issued2009
dc.identifier.citationHernández, H. [et al.]. Self-synchronized duty-cycling for mobile sensor networks with energy harvesting capabilities: A swarm intelligence study. A: . "Proceedings of the IEEE Swarm Intelligence Symposium 2009". 2009, p. 153-159.
dc.identifier.urihttp://hdl.handle.net/2117/7149
dc.description.abstractWhen asked if ants rest or if they work untiringly all day long, most people would probably respond that they had no idea. In fact, when watching the bustling life of an ant hill it is hard to imagine that ants take a rest from now and then. However, biologists discovered that ants rest quite a large fraction of their time. Surprisingly, not only single ants show alternate phases of resting and being active, but whole ant colonies exhibit synchronized activity phases that result from self-organization. Inspired by this self-synchronization behaviour of ant colonies, we develop a mechanism for self-synchronized duty-cycling in mobile sensor networks. In addition, we equip sensor nodes with energy harvesting capabilities such as, for example, solar cells. We show that the self-synchronization mechanism can be made adaptive depending on the available energy.
dc.format.extent7 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Informàtica::Sistemes d'informació
dc.subject.lcshSensor networks
dc.subject.lcshSwarm intelligence
dc.titleSelf-synchronized duty-cycling for mobile sensor networks with energy harvesting capabilities: A swarm intelligence study
dc.typeConference report
dc.subject.lemacIntel·ligència col·lectiva
dc.contributor.groupUniversitat Politècnica de Catalunya. ALBCOM - Algorismia, Bioinformàtica, Complexitat i Mètodes Formals
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/iel5/4911120/4937832/04937858.pdf?arnumber=4937858
dc.rights.accessOpen Access
local.identifier.drac2416059
dc.description.versionPostprint (published version)
local.citation.authorHernández, H.; Blum, C.; Middendorf, M.; Ramsch, K.; Scheidler, A.
local.citation.publicationNameProceedings of the IEEE Swarm Intelligence Symposium 2009
local.citation.startingPage153
local.citation.endingPage159


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