Abstract | ||
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In a wireless sensor network application for tracking multiple mobile targets, large amounts of sensing data can be generated by a number of sensors. These data must be controlled with efficient data aggregation techniques to reduce data transmission to the sink node. Several clustering methods were used previously to aggregate the large amounts of data produced from sensors in target tracking applications. However, such clustering based data aggregation algorithms show effectiveness only in restricted type of sensing scenarios, while posing great problems when trying to adapt to various environment changes. To alleviate the problems of existing clustering algorithms, we propose a hybrid clustering based data aggregation scheme. The proposed scheme can adaptively choose a suitable clustering technique depending on the status of the network, increasing the data aggregation efficiency as well as energy consumption and successful data transmission ratio. Performance evaluation via simulation has been made to show the effectiveness of the proposed scheme. |
Year | DOI | Venue |
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2009 | 10.1109/ICDS.2009.40 | ICDS |
Keywords | Field | DocType |
successful data transmission ratio,hybrid clustering,clustering algorithm,hybrid approach,target tracking,efficient data,clustering-based data aggregation,clustering method,data aggregation,sink node,proposed scheme,data aggregation algorithm,multiple mobile target tracking,large amount,data handling,wireless sensor networks,data transmission,data aggregation efficiency,sensor netwrok,data aggregation scheme,wireless sensor network,sensors,switches,protocols,clustering algorithms | Data mining,Data stream clustering,Data transmission,Computer science,Sensing data,Computer network,Cluster analysis,Energy consumption,Wireless sensor network,Data aggregator,Group method of data handling | Conference |
ISBN | Citations | PageRank |
978-0-7695-3526-5 | 6 | 0.53 |
References | Authors | |
9 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Woosung Jung | 1 | 82 | 9.98 |
Keun-Woo Lim | 2 | 28 | 2.39 |
Young-Bae Ko | 3 | 2575 | 458.18 |
Sang-Joon Park | 4 | 55 | 7.77 |