End-to-End Delay Analysis in Cognitive Radio Ad Hoc Networks with Different Traffic Models
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 multiho...
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| Format: | Article |
| Language: | English |
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Hindawi Limited
2015-01-01
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| Series: | Mobile Information Systems |
| Online Access: | http://dx.doi.org/10.1155/2015/157659 |
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doaj-04224fe7c6244f908b40f604ce958e702021-07-02T04:32:12ZengHindawi LimitedMobile Information Systems1574-017X1875-905X2015-01-01201510.1155/2015/157659157659End-to-End Delay Analysis in Cognitive Radio Ad Hoc Networks with Different Traffic ModelsJing Gao0Changchuan Yin1Xi Han2School of Electronics and Communication Engineering, Tianjin Normal University, Tianjin 300387, ChinaBeijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaInformation Network Center, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaDelay 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.http://dx.doi.org/10.1155/2015/157659 |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Jing Gao Changchuan Yin Xi Han |
| spellingShingle |
Jing Gao Changchuan Yin Xi Han End-to-End Delay Analysis in Cognitive Radio Ad Hoc Networks with Different Traffic Models Mobile Information Systems |
| author_facet |
Jing Gao Changchuan Yin Xi Han |
| author_sort |
Jing Gao |
| title |
End-to-End Delay Analysis in Cognitive Radio Ad Hoc Networks with Different Traffic Models |
| title_short |
End-to-End Delay Analysis in Cognitive Radio Ad Hoc Networks with Different Traffic Models |
| title_full |
End-to-End Delay Analysis in Cognitive Radio Ad Hoc Networks with Different Traffic Models |
| title_fullStr |
End-to-End Delay Analysis in Cognitive Radio Ad Hoc Networks with Different Traffic Models |
| title_full_unstemmed |
End-to-End Delay Analysis in Cognitive Radio Ad Hoc Networks with Different Traffic Models |
| title_sort |
end-to-end delay analysis in cognitive radio ad hoc networks with different traffic models |
| publisher |
Hindawi Limited |
| series |
Mobile Information Systems |
| issn |
1574-017X 1875-905X |
| publishDate |
2015-01-01 |
| description |
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. |
| url |
http://dx.doi.org/10.1155/2015/157659 |
| work_keys_str_mv |
AT jinggao endtoenddelayanalysisincognitiveradioadhocnetworkswithdifferenttrafficmodels AT changchuanyin endtoenddelayanalysisincognitiveradioadhocnetworkswithdifferenttrafficmodels AT xihan endtoenddelayanalysisincognitiveradioadhocnetworkswithdifferenttrafficmodels |
| _version_ |
1721339870965661696 |