An energy-efficient dynamic decision model for wireless multi-sensor network

Yang, Xuhui; Zhou, Qing; Wang, Jinqiang; Zhou, Rui; Li, Kuan‐Ching

doi:10.1007/s11227-018-2419-1

Cited by 5 publications

(2 citation statements)

References 19 publications

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“…In recent years, considerable attention has been paid to multisensor data fusion technology or information acquisition and environment sensing, such as the wireless network [1], fault detection [2], condition monitoring [3], and image processing [4][5][6]. Due to the complexity of the targets, the data collected from a single sensor perform poorly when making decisions.…”

Section: Introductionmentioning

confidence: 99%

An Improved Data Fusion Method Based on Weighted Belief Entropy considering the Negation of Basic Probability Assignment

Chen

Tang

Lei

2020

Journal of Mathematics

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Uncertainty in data fusion applications has received great attention. Due to the effectiveness and flexibility in handling uncertainty, Dempster–Shafer evidence theory is widely used in numerous fields of data fusion. However, Dempster–Shafer evidence theory cannot be used directly for conflicting sensor data fusion since counterintuitive results may be attained. In order to handle this issue, a new method for data fusion based on weighted belief entropy and the negation of basic probability assignment (BPA) is proposed. First, the negation of BPA is applied to represent the information in a novel view. Then, by measuring the uncertainty of the evidence, the weighted belief entropy is adopted to indicate the relative importance of evidence. Finally, the ultimate weight of each body of evidence is applied to adjust the mass function before fusing by the Dempster combination rule. The validity of the proposed method is demonstrated in accordance with an experiment on artificial data and an application on fault diagnosis.

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Section: Introductionmentioning

confidence: 99%

An Improved Data Fusion Method Based on Weighted Belief Entropy considering the Negation of Basic Probability Assignment

Chen

Tang

Lei

2020

Journal of Mathematics

View full text Add to dashboard Cite

show abstract

“…The paper [13] discusses an important topic of dynamic energy management under IoT environment. Authors propose an energy-efficient dynamic decision model for wireless multi-sensor network.…”

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confidence: 99%