An Analytical Approach to Opportunistic Transmission under Rayleigh Fading Channels
In cognitive radio sensor networks, the routing methods including multiple relays have been extensively studied to achieve higher throughput and lower end-to-end delay. As one of innovative approaches, the opportunistic routing scheme was proposed. In this paper, the effectiveness of the opportunist...
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2015-12-01
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Series: | International Journal of Distributed Sensor Networks |
Online Access: | https://doi.org/10.1155/2015/725198 |
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doaj-b01b65a3031d4173807c733f3f3475392020-11-25T02:22:16ZengSAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772015-12-011110.1155/2015/725198725198An Analytical Approach to Opportunistic Transmission under Rayleigh Fading ChannelsYousaf Bin ZikriaSung Won KimHeejung YuSeung Yeob NamIn cognitive radio sensor networks, the routing methods including multiple relays have been extensively studied to achieve higher throughput and lower end-to-end delay. As one of innovative approaches, the opportunistic routing scheme was proposed. In this paper, the effectiveness of the opportunistic transmission in terms of reliability and delay of transmission is verified with an analytical way. For the analysis, we establish the probabilistic model with respect to distance and the number of relay nodes under the Rayleigh fading channels including path loss effects. Under this model, we develop a generic Markov chain model to obtain the analytical results and verify the effectiveness of the statistical analysis. The results show that an opportunistic transmission approach is better than traditional multihop transmissions in terms of successful data delivery with fewer transmissions. Consequently, it can provide an energy efficient transmission mechanism for cognitive radio sensor networks.https://doi.org/10.1155/2015/725198 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yousaf Bin Zikria Sung Won Kim Heejung Yu Seung Yeob Nam |
spellingShingle |
Yousaf Bin Zikria Sung Won Kim Heejung Yu Seung Yeob Nam An Analytical Approach to Opportunistic Transmission under Rayleigh Fading Channels International Journal of Distributed Sensor Networks |
author_facet |
Yousaf Bin Zikria Sung Won Kim Heejung Yu Seung Yeob Nam |
author_sort |
Yousaf Bin Zikria |
title |
An Analytical Approach to Opportunistic Transmission under Rayleigh Fading Channels |
title_short |
An Analytical Approach to Opportunistic Transmission under Rayleigh Fading Channels |
title_full |
An Analytical Approach to Opportunistic Transmission under Rayleigh Fading Channels |
title_fullStr |
An Analytical Approach to Opportunistic Transmission under Rayleigh Fading Channels |
title_full_unstemmed |
An Analytical Approach to Opportunistic Transmission under Rayleigh Fading Channels |
title_sort |
analytical approach to opportunistic transmission under rayleigh fading channels |
publisher |
SAGE Publishing |
series |
International Journal of Distributed Sensor Networks |
issn |
1550-1477 |
publishDate |
2015-12-01 |
description |
In cognitive radio sensor networks, the routing methods including multiple relays have been extensively studied to achieve higher throughput and lower end-to-end delay. As one of innovative approaches, the opportunistic routing scheme was proposed. In this paper, the effectiveness of the opportunistic transmission in terms of reliability and delay of transmission is verified with an analytical way. For the analysis, we establish the probabilistic model with respect to distance and the number of relay nodes under the Rayleigh fading channels including path loss effects. Under this model, we develop a generic Markov chain model to obtain the analytical results and verify the effectiveness of the statistical analysis. The results show that an opportunistic transmission approach is better than traditional multihop transmissions in terms of successful data delivery with fewer transmissions. Consequently, it can provide an energy efficient transmission mechanism for cognitive radio sensor networks. |
url |
https://doi.org/10.1155/2015/725198 |
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