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An Analytical Approach to Opportunistic Transmission under Rayleigh Fading Channels
Author(s) -
Yousaf Bin Zikria,
Sung Won Kim,
Heejung Yu,
Seung Yeob Nam
Publication year - 2015
Publication title -
international journal of distributed sensor networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.324
H-Index - 53
eISSN - 1550-1477
pISSN - 1550-1329
DOI - 10.1155/2015/725198
Subject(s) - computer science , cognitive radio , rayleigh fading , transmission (telecommunications) , relay , computer network , markov chain , reliability (semiconductor) , path loss , fading , throughput , probabilistic logic , markov process , telecommunications , channel (broadcasting) , wireless , power (physics) , physics , quantum mechanics , machine learning , artificial intelligence , statistics , mathematics
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.

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