Saving Energy by Adjusting Transmission Power in Wireless Sensor Networks
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Authors
Chen, Xiao
Rowe, Neil C.
Subjects
energy-efficient
minimal spanning tree
relative neiborhood graph
transmission power
wireless sensor networks
minimal spanning tree
relative neiborhood graph
transmission power
wireless sensor networks
Advisors
Date of Issue
2011
Date
2011
Publisher
Monterey, California. Naval Postgraduate School
Language
Abstract
Wireless 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.
Type
Conference Paper
Description
This full text paper was peer reviewed at the direction of IEEE Communications Society subject matter experts for publication in the IEEE Globecom 2011 proceedings.
Series/Report No
Department
Computer Science (CS)
Organization
Identifiers
NPS Report Number
Sponsors
supported by NSF grant CBET 0729696
Funder
Format
Citation
IEEE Communications Society subject matter experts for publication in the IEEE Globecom 2011 proceedings.
Distribution Statement
Rights
This 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.