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 Citations (Scopus)

    Abstract

    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
    Pages4381-4385
    Number of pages5
    DOIs
    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

    Other

    OtherIEEE International Conference on Communications, ICC 2008
    CountryChina
    CityBeijing
    Period5/19/085/23/08

    Fingerprint

    Sensor networks
    Fusion reactions
    Scheduling
    Sensors
    Fading channels

    All Science Journal Classification (ASJC) codes

    • Computer Networks and Communications
    • Electrical and Electronic Engineering

    Cite this

    Huie, L. M., He, X., & Yener, A. (2008). Joint power scheduling and estimator design for sensor networks across parallel channels. In ICC 2008 - IEEE International Conference on Communications, Proceedings (pp. 4381-4385). [4533858] (IEEE International Conference on Communications). https://doi.org/10.1109/ICC.2008.822
    Huie, Lauren M. ; He, Xiang ; Yener, Aylin. / Joint power scheduling and estimator design for sensor networks across parallel channels. ICC 2008 - IEEE International Conference on Communications, Proceedings. 2008. pp. 4381-4385 (IEEE International Conference on Communications).
    @inproceedings{b815529cdf0948abb0addadffe345eca,
    title = "Joint power scheduling and estimator design for sensor networks across parallel channels",
    abstract = "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.",
    author = "Huie, {Lauren M.} and Xiang He and Aylin Yener",
    year = "2008",
    month = "9",
    day = "12",
    doi = "10.1109/ICC.2008.822",
    language = "English (US)",
    isbn = "9781424420742",
    series = "IEEE International Conference on Communications",
    pages = "4381--4385",
    booktitle = "ICC 2008 - IEEE International Conference on Communications, Proceedings",

    }

    Huie, LM, He, X & Yener, A 2008, Joint power scheduling and estimator design for sensor networks across parallel channels. in ICC 2008 - IEEE International Conference on Communications, Proceedings., 4533858, IEEE International Conference on Communications, pp. 4381-4385, IEEE International Conference on Communications, ICC 2008, Beijing, China, 5/19/08. https://doi.org/10.1109/ICC.2008.822

    Joint power scheduling and estimator design for sensor networks across parallel channels. / Huie, Lauren M.; He, Xiang; Yener, Aylin.

    ICC 2008 - IEEE International Conference on Communications, Proceedings. 2008. p. 4381-4385 4533858 (IEEE International Conference on Communications).

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

    TY - GEN

    T1 - Joint power scheduling and estimator design for sensor networks across parallel channels

    AU - Huie, Lauren M.

    AU - He, Xiang

    AU - Yener, Aylin

    PY - 2008/9/12

    Y1 - 2008/9/12

    N2 - 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.

    AB - 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.

    UR - http://www.scopus.com/inward/record.url?scp=51249108425&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=51249108425&partnerID=8YFLogxK

    U2 - 10.1109/ICC.2008.822

    DO - 10.1109/ICC.2008.822

    M3 - Conference contribution

    SN - 9781424420742

    T3 - IEEE International Conference on Communications

    SP - 4381

    EP - 4385

    BT - ICC 2008 - IEEE International Conference on Communications, Proceedings

    ER -

    Huie LM, He X, Yener A. Joint power scheduling and estimator design for sensor networks across parallel channels. In ICC 2008 - IEEE International Conference on Communications, Proceedings. 2008. p. 4381-4385. 4533858. (IEEE International Conference on Communications). https://doi.org/10.1109/ICC.2008.822