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Probabilistic Behavior of Sensor Network Localization

Authors: Xunxue Cui; Zhan Zhao; Qing Tao;

Probabilistic Behavior of Sensor Network Localization

Abstract

Positioning is a fundamental issue for wireless sensor network operation. Despite the recent proposals for the development of localization algorithms, the probabilistic behavior in position estimation using inaccurate measurements has not been analyzed. The paper focuses on two theoretical problems of localization from the viewpoint of probability analysis. First, it was proved that the position error in positioning is distributed by the χ2. Secondly, we demonstrated that the sensor connectivity distribution converges to the Poisson. Experiments of connectivity distribution were performed, and some conclusions were given to conduct a sensor network deployment.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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