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Published Articles >> Table of Contents >> Abstract
First Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services (MobiQuitous'04)
pp. 203-212
A Framework for Energy-Saving Data Gathering Using Two-Phase Clustering in Wireless Sensor Networks
Wook Choi, University of Texas at Arlington
Prateek Shah, University of Texas at Arlington
Sajal K. Das, University of Texas at Arlington
Full Article Text:
 
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MOBIQ.2004.1331727
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| Abstract |
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A high-density wireless sensor network can be deployed
for specific information-gathering. In such a network, sensors
need to route their sensed data to a base station, consuming
highly-limited and unreplenishable energy resource.
Hence, one of the most critical issues in designing sensor
data gathering algorithms is to minimize the energy consumption
for network longevity while meeting certain requirements
given, such as delay constraints, which may vary
depending on specific applications or environmental situations.
In this paper we propose a novel two-phase clustering
(TPC) scheme for energy-saving and delay-adaptive data
gathering in wireless sensor networks. The proposed scheme
partitions the network into clusters in phase I, each with a
cluster head, forming a direct link between cluster member
and cluster head. In phase II, each cluster member searches
for a neighbor closer than the cluster head within the cluster
to set up an energy-saving data relay link. The sensors use either
the direct link or the data relay link for their sensed data
forwarding depending on the requirements specified by the
users or applications. Simulation results show that the TPC
reduces average transmission distance by up to 75% with the
help of data relay links when there is no delay constraint, implying
that there is a significant amount of energy-savings in
collecting sensed data.
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Additional Information
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Citation:
Wook Choi, Prateek Shah, Sajal K. Das,
"A Framework for Energy-Saving Data Gathering Using Two-Phase Clustering in Wireless Sensor Networks,"
mobiquitous,
pp. 203-212,
First Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services (MobiQuitous'04),
2004
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