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Published in: Soft Computing 12/2017

18-01-2016 | Methodologies and Application

C-POEM: comprehensive performance optimization evaluation model for wireless sensor networks

Authors: Nan Jiang, Bin Li, Pingan Pan, Tao Wan, Lingfeng Liu

Published in: Soft Computing | Issue 12/2017

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Abstract

Performance optimization is one of the core issues in wireless sensor networks (WSNs). The existing efforts on performance optimization mainly consist of two research themes: power control and sleep scheduling. A well-designed network performance optimization method is not only close to the actual but also has good generality. There are many aspects that need to be studied. This paper aims to pursue a trade-off between network comprehensive performance and survival time by employing gain and cost to characterize the whole network performance. Towards this goal, a comprehensive performance optimization evaluation model based on complex network theory is proposed. In addition, a relevant optimization algorithm is proposed, which bears a number of merits such as low complexity and competitive performance. Simulation results show that WSNs have the best network average degree to make network obtain maximum income.

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Metadata
Title
C-POEM: comprehensive performance optimization evaluation model for wireless sensor networks
Authors
Nan Jiang
Bin Li
Pingan Pan
Tao Wan
Lingfeng Liu
Publication date
18-01-2016
Publisher
Springer Berlin Heidelberg
Published in
Soft Computing / Issue 12/2017
Print ISSN: 1432-7643
Electronic ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-015-2015-8

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