Skyline-Based Aggregator Node Selection in Wireless Sensor Networks

In order to achieve the equal usage of limited resources in the wireless sensor networks (WSNs), we must aggregate the sensor data before passing it to the base station. In WSNs, the aggregator nodes perform a data aggregation process. Careful selection of the aggregator nodes in the data aggregatio...

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Bibliographic Details
Published in:International journal of distributed sensor networks 2013-01, Vol.2013 (-), p.1-7
Main Authors: Nasridinov, Aziz, Ihm, Sun-Young, Park, Young-Ho
Format: Article
Language:English
Subjects:
Agglomeration
Aggregates
Algorithms
Financial services
Networks
Query processing
Remote sensors
Sensors
Stations
Studies
Wireless networks
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Summary:In order to achieve the equal usage of limited resources in the wireless sensor networks (WSNs), we must aggregate the sensor data before passing it to the base station. In WSNs, the aggregator nodes perform a data aggregation process. Careful selection of the aggregator nodes in the data aggregation process results in reducing large amounts of communication traffic in the WSNs. However, network conditions change frequently due to sharing of resources, computation load, and congestion on network nodes and links, which makes the selection of the aggregator nodes difficult. In this paper, we study an aggregator node selection method in the WSNs. We formulate the selection process as a top-k query problem, where we efficiently solve the problem by using a modified Sort-Filter-Skyline (SFS) algorithm. The main idea of our approach is to immediately perform a skyline query on the sensor nodes in the WSNs, which enables to extract a set of sensor nodes that are potential candidates to become an aggregator node. The experiments show that our method is several times faster compared to the existing approaches.
ISSN:1550-1329
1550-1477
1550-1477
DOI:10.1155/2013/356194