Endada: An Efficient Network Design Algorithm Based on Weighted Graph for Data Aggregation in Internet of Things on Marine Ships

Feng Xie; Xiao Hui Ye

doi:10.4028/www.scientific.net/AMM.740.648

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 740Endada: An Efficient Network Design Algorithm...

Endada: An Efficient Network Design Algorithm Based on Weighted Graph for Data Aggregation in Internet of Things on Marine Ships

Abstract:

Internet of Things is envisioned as promising technologies for remote equipment maintenance in large marine ships. Data aggregation is critical for sensing data collection in Internet of Things. The network design affects data aggregation efficiency. As the volume of sensing data is large due to the number of equipments, it is mandatory to decrease the communication overhead in data aggregation. In this paper, we propose a weighted graph based network design algorithm for data aggregation, called Endada. The communication efficiency is improved by Endada, which is justified extensively by formal analysis and rigorous proof.

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Periodical:

Applied Mechanics and Materials (Volume 740)

Pages:

648-651

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.740.648

Citation:

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Online since:

March 2015

Authors:

Feng Xie*, Xiao Hui Ye

Keywords:

Algorithm, Data Aggregation, Internet of Things, Network Design

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