
doi: 10.1155/2014/460196
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.
Electronic computers. Computer science, QA75.5-76.95
Electronic computers. Computer science, QA75.5-76.95
| 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). | 1 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
