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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Main Authors: Yousaf Bin Zikria, Sung Won Kim, Heejung Yu, Seung Yeob Nam
Format: Article
Language:English
Published: SAGE Publishing 2015-12-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2015/725198
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spelling 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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