end-to-end delay analysis in cognitive radio ad hoc networks with different traffic models
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2015
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Abstract
Delay and throughput are important metrics for
network performance. We analyze the end-to-end delay of cognitive
radio ad hoc networks for two traffic models: backlogged
and geometric, respectively. By modelling the primary users as
a Poisson point process and the secondary network deploying
multihop transmissions, we derive the closed-form expression
for the end-to-end delay in secondary networks. Furthermore, we
optimize the end-to-end delay in terms of the hop number and
the secondary transmission probability, respectively. The range
of the optimal hop number and the equation satisfied by the
optimal transmission probability are obtained for backlogged
source models. The equation met by the optimal hop number
is presented for geometric source models.
| Reference Key |
gao2015mobileend-to-end
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|---|---|
| Authors | ;Jing Gao;Changchuan Yin;Xi Han |
| Journal | ui sahak |
| Year | 2015 |
| DOI |
10.1155/2015/157659
|
| URL | |
| Keywords |
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