Optimal power-aware relay placement for cooperative wireless sensor networks

SUMMARY We study the problem of optimizing the symbol error probability (SEP) performance of cluster‐based cooperative wireless sensor networks. Recent studies in literature show that an efficient relay selection protocol based on simple geographical information of the nodes to execute cooperative d...

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Veröffentlicht in:International journal of communication systems 2014-12, Vol.27 (12), p.3791-3804
Hauptverfasser: Abdizadeh, Mohammad, Jamali-Rad, Hadi, Abolhassani, Bahman
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Sprache:eng
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Zusammenfassung:SUMMARY We study the problem of optimizing the symbol error probability (SEP) performance of cluster‐based cooperative wireless sensor networks. Recent studies in literature show that an efficient relay selection protocol based on simple geographical information of the nodes to execute cooperative diversity can significantly improve the SEP performance at the destination of such networks. As well, similar line of research on optimal power allocation (for the source and relay nodes) can be found in literature. However, to achieve the best SEP performance at the destination of a cooperative wireless sensor network, joint optimization of power allocation and relay placement should be accomplished. To this aim, we reformulate the SEP of a multi‐hop cooperative communication in a general form and optimize transmitted power level and relay placement simultaneously. This analysis is developed for both amplify‐and‐forward and decode‐and‐forward relaying protocols. Simulation results demonstrate that the proposed joint optimization can effectively improve the SEP performance of the network. Copyright © 2013 John Wiley & Sons, Ltd. The problem of optimizing the symbol error probability performance of cluster‐based cooperative wireless sensor networks is studied for both decode and forward (A) and amplify and forward (B) relaying protocols. Simulation results demonstrate that the joint optimization of power allocation and relay placement can effectively improve the symbol error probability performance of the network.
ISSN:1074-5351
1099-1131
DOI:10.1002/dac.2576