Data gathering in high-density wireless sensor networks using hierarchical clustering

The method proposed here gathers data in high- density wireless sensor networks in real-time. It determines network topology by hierarchical clustering to avoid radio collision, which enables us to gather data with minimum data latency from numerous high-density sensor nodes. The analysis of our pro...

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Bibliographic Details
Main Authors: Kishino, Y., Sakurai, Y., Kamei, K., Yanagisawa, Y., Maekawa, T., Okadome, T.
Format: Conference Proceeding
Language:eng ; jpn
Subjects:
Aggregates
Clustering algorithms
Delay
Network topology
Protocols
Sensor systems
Sensor systems and applications
Signal processing algorithms
Ubiquitous computing
Wireless sensor networks
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Description
Summary:The method proposed here gathers data in high- density wireless sensor networks in real-time. It determines network topology by hierarchical clustering to avoid radio collision, which enables us to gather data with minimum data latency from numerous high-density sensor nodes. The analysis of our proposed tree-based data gathering protocol and real experiments using 39 real sensor nodes show that the proposed data gathering method can reduce data latency by hierarchical clustering.
ISSN:2154-0217
2154-0225
DOI:10.1109/ISWCS.2008.4726116