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http://dx.doi.org/10.9717/kmms.2011.14.11.1438

A Study on the Energy Efficient Data Aggregation Method for the Customized Application of Underwater Wireless Sensor Networks  

Kim, Sung-Un (부경대학교 정보통신공학과)
Park, Seon-Yeong (부경대학교 정보통신공학과)
Yu, Hyung-Cik (부경대학교 정보통신공학과)
Publication Information
Journal of Korea Multimedia Society / v.14, no.11, 2011 , pp. 1438-1449 More about this Journal
Abstract
UWSNs(Underwater Wireless Sensor Networks) need effective modeling fitted to the customized type of application and its covering area. In particular it requires an energy efficient data aggregation method for such customized application. In this paper, we envisage the application oriented model for monitoring the pollution or intrusion detection over a given underwater area. The suggested model is based on the honeycomb array of hexagonal prisms. In this model, the purpose of data aggregation is that the head node of each layer(cluster) receives just one event data arrived firstly and transfer this and its position data to the base station effectively in the manner of energy efficiency and simplicity without duplication. Here if we apply the existent data aggregation methods to this kind of application, the result is far from energy efficiency due to the complexity of the data aggregation process based on the shortest path or multicast tree. In this paper we propose three energy efficient and simple data aggregation methods in the domain of cluster and three in the domain of inter-cluster respectively. Based on the comparative performance analysis of the possible combination pairs in the two domains, we derive the best energy efficient data aggregation method for the suggested application.
Keywords
Underwater Wireless Sensor Networks; Hexagonal Prism Models; Energy Efficiency; Data Aggregation Method;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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