Research on Data Aggregation Algorithms Based on OPT in Wireless Sensor Networks

Xue Wen He; Le Ping Zheng; Kuan Gang Fan; Sun Han; Qing Mei Cao

doi:10.4028/www.scientific.net/AMM.427-429.1991

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 427-429Research on Data Aggregation Algorithms Based on...

Research on Data Aggregation Algorithms Based on OPT in Wireless Sensor Networks

Abstract:

Since wireless sensor networks consist of sensors with limited battery energy, a major design goal is to maximize the lifetime of sensor network. To improve measurement accuracy and prolong network lifetime, reducing data traffic is needed. In the clustering-based wireless sensor networks, a novel data aggregation algorithm based on OPT and Layida Method is proposed. In the proposed method, Layida Method preprocesses data and data fusion model for data integration are used. Its availability is proved by comparing with the results of two existing algorithms.

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Periodical:

Applied Mechanics and Materials (Volumes 427-429)

Pages:

1991-1994

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.427-429.1991

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Online since:

September 2013

Authors:

Xue Wen He*, Le Ping Zheng, Kuan Gang Fan, Sun Han, Qing Mei Cao

Keywords:

Data Aggregation, Layida Method, OPT, Wireless Sensor Network (WSN)

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