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International Journal of Distributed Sensor Networks
Article . 2014 . Peer-reviewed
License: SAGE TDM
Data sources: Crossref
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DBLP
Article . 2025
Data sources: DBLP
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Secrecy Throughput in Inhomogeneous Wireless Networks with Nonuniform Traffic

Authors: Qiuming Liu; Li Yu 0003; Peng Yang 0004; Zuhao Liu 0001;

Secrecy Throughput in Inhomogeneous Wireless Networks with Nonuniform Traffic

Abstract

We investigate the secrecy throughput of inhomogeneous wireless network, especially in cases of independent and uniform eavesdropper with single antenna and multiple antennas. Towards the inhomogeneous distribution of legitimate nodes, we novelly construct a circular percolation model under the idea of transforming “inhomogeneous” to “homogeneous.” Correspondingly, the information is transmitted by two ways: intracluster transmission and intercluster transmission. For intracluster transmission, a per-node secrecy throughput of [Formula: see text] is derived by circular percolation model, where n and [Formula: see text] represent the number of nodes and clusters in the network, respectively. As for intercluster case, a connection called “information pipelines” is built. Then the per-node secrecy throughput of [Formula: see text] can be obtained, where [Formula: see text] denotes the minimum node density in the network. Moreover, when the eavesdropper is equipped with [Formula: see text] antennas, the per-node secrecy throughput of [Formula: see text] and [Formula: see text] is achieved for intracluster and intercluster transmission, respectively.

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Keywords

Electronic computers. Computer science, QA75.5-76.95

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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!
1
Average
Average
Average
gold
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