Joint power scheduling and estimator design for sensor networks across parallel channels

Lauren M. Huie, Xiang He, Aylin Yener

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Scopus citations


    This paper addresses the joint estimator and power optimization problem for a sensor network whose mission is to estimate an unknown parameter. We assume a two-hop network where each sensor collects observations from the source that transmits the quantity to be estimated, then amplifies and forwards its observations to a fusion center. The fusion center combines the observations using a Linear Minimum Mean Squared Error (LMMSE) estimator. We study the scenario where multiple parallel channels are available between the source and each sensor as well as between the sensors and the fusion center. We find the global optimal power allocation and estimator design for this network model. We present two practical scenarios of interest that utilize spatial and temporal diversity for which this solution applies, namely, a clustered network model and a single cluster model with an ergodic fading channel.

    Original languageEnglish (US)
    Title of host publicationICC 2008 - IEEE International Conference on Communications, Proceedings
    Number of pages5
    StatePublished - Sep 12 2008
    EventIEEE International Conference on Communications, ICC 2008 - Beijing, China
    Duration: May 19 2008May 23 2008

    Publication series

    NameIEEE International Conference on Communications
    ISSN (Print)0536-1486


    OtherIEEE International Conference on Communications, ICC 2008

    All Science Journal Classification (ASJC) codes

    • Computer Networks and Communications
    • Electrical and Electronic Engineering


    Dive into the research topics of 'Joint power scheduling and estimator design for sensor networks across parallel channels'. Together they form a unique fingerprint.

    Cite this