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dc.contributor.authorKong, Lingping
dc.contributor.authorPan, Jeng-Shyang
dc.contributor.authorTsai, Pei-Wei
dc.contributor.authorSnášel, Václav
dc.contributor.authorHo, Jiun-Huei
dc.date.accessioned2015-05-15T12:21:16Z
dc.date.available2015-05-15T12:21:16Z
dc.date.issued2015
dc.identifier.citationInternational Journal of Distributed Sensor Networks. 2015, art. no. 729680.cs
dc.identifier.issn1550-1329
dc.identifier.issn1550-1477
dc.identifier.urihttp://hdl.handle.net/10084/106737
dc.description.abstractThe wireless sensor network (WSN) is composed of a set of sensor nodes. It is deemed suitable for deploying with large-scale in the environment for variety of applications. Recent advances in WSN have led to many new protocols specifically for reducing the power consumption of sensor nodes. A new scheme for predetermining the optimized routing path is proposed based on the enhanced parallel cat swarm optimization (EPCSO) in this paper. This is the first leading precedent that the EPCSO is employed to provide the routing scheme for the WSN. The experimental result indicates that the EPCSO is capable of generating a set of the predetermined paths and of smelting the balanced path for every sensor node to forward the interested packages. In addition, a scheme for deploying the sensor nodes based on their payload and the distance to the sink node is presented to extend the life cycle of the WSN. A simulation is given and the results obtained by the EPCSO are compared with the AODV, the LD method based on ACO, and the LD method based on CSO. The simulation results indicate that our proposed method reduces more than 35% power consumption on average.cs
dc.format.extent1766693 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoencs
dc.publisherHindawics
dc.relation.ispartofseriesInternational Journal of Distributed Sensor Networkscs
dc.relation.urihttp://dx.doi.org/10.1155/2015/729680cs
dc.rightsCopyright © 2015 Lingping Kong et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.cs
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/cs
dc.titleA balanced power consumption algorithm based on enhanced parallel cat swarm optimization for wireless sensor networkcs
dc.typearticlecs
dc.identifier.doi10.1155/2015/729680
dc.rights.accessopenAccess
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.firstpageart. no. 729680cs
dc.identifier.wos000352906100001


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Copyright © 2015 Lingping Kong et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Except where otherwise noted, this item's license is described as Copyright © 2015 Lingping Kong et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.