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    Outage probability analysis of wireless sensor networks in the presence of channel fading and spatial correlation

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    Type
    Conference Paper
    Authors
    Al-Murad, Tamim M.
    Alouini, Mohamed-Slim cc
    KAUST Department
    Communication Theory Lab
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Physical Science and Engineering (PSE) Division
    Date
    2011-07
    Permanent link to this record
    http://hdl.handle.net/10754/564393
    
    Metadata
    Show full item record
    Abstract
    Evaluating the reliability of wireless sensor networks is becoming more important as theses networks are being used in crucial applications. The outage probability defined as the probability that the error in the system exceeds a maximum acceptable threshold has recently been used as a measure of the reliability of such systems. In this work we find the outage probability of wireless sensor network in different scenarios of distributed sensing where sensors' readings are affected by spatial correlation and in the presence of channel fading. © 2011 IEEE.
    Citation
    Al-Murad, T., & Alouini, M.-S. (2011). Outage probability analysis of wireless sensor networks in the presence of channel fading and spatial correlation. 2011 7th International Wireless Communications and Mobile Computing Conference. doi:10.1109/iwcmc.2011.5982780
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2011 7th International Wireless Communications and Mobile Computing Conference
    Conference/Event name
    7th International Wireless Communications and Mobile Computing Conference, IWCMC 2011
    ISBN
    9781424495399
    DOI
    10.1109/IWCMC.2011.5982780
    ae974a485f413a2113503eed53cd6c53
    10.1109/IWCMC.2011.5982780
    Scopus Count
    Collections
    Conference Papers; Physical Science and Engineering (PSE) Division; Electrical and Computer Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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