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dc.contributor.authorChen, Xiao
dc.contributor.authorRowe, Neil C.
dc.date2011
dc.date.accessioned2013-10-08T17:43:53Z
dc.date.available2013-10-08T17:43:53Z
dc.date.issued2011
dc.identifier.citationIEEE Communications Society subject matter experts for publication in the IEEE Globecom 2011 proceedings.
dc.identifier.urihttp://hdl.handle.net/10945/36817
dc.descriptionThis full text paper was peer reviewed at the direction of IEEE Communications Society subject matter experts for publication in the IEEE Globecom 2011 proceedings.en_US
dc.description.abstractWireless sensor networks (WSNs) have attracted a great deal of study due to the low cost of sensors and their wide range of applications. Most of the sensors used so far are point sensors which have disc-shaped sensing and communication areas. Energy-efficient communication is an important issue in WSNs because of the limited power resource and the inconvenience to recharge sensor batteries frequently. In this paper, we propose distributed algorithms to reduce communication energy consumption in WSNs by minimizing the total transmission power of sensors while maintaining the connectivity of the network. We first develop a distributed algorithm called DTRNG (Determine the Transmission power using RNG) based on RNG (Relative Neighborhood Graph) to let each sensor determine its transmission power. Then we point out that although RNG can maintain the connectivity of the network, it is not adequate to minimize the total transmission power of sensors. So we enhance it to algorithm DTCYC (Determine the Transmission power by removing the largest edge in CYCles). Mathematical proofs show that the result of the DTCYC algorithm is a minimal spanning tree, which can not only minimize the total sensor transmission power but maintain the connectivity of the network as well. Therefore, DTCYC algorithm is efficient in saving energy and can thus prolong the lifetime of WSNs.en_US
dc.description.sponsorshipsupported by NSF grant CBET 0729696en_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleSaving Energy by Adjusting Transmission Power in Wireless Sensor Networksen_US
dc.typeConference Paperen_US
dc.contributor.departmentComputer Science (CS)
dc.subject.authorenergy-efficienten_US
dc.subject.authorminimal spanning treeen_US
dc.subject.authorrelative neiborhood graphen_US
dc.subject.authortransmission poweren_US
dc.subject.authorwireless sensor networksen_US


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