• Login
    View Item 
    •   SMARTech Home
    • Institute for Robotics and Intelligent Machines (IRIM)
    • IRIM Articles and Papers
    • Georgia Robotics and InTelligent Systems Laboratory (GRITS)
    • View Item
    •   SMARTech Home
    • Institute for Robotics and Intelligent Machines (IRIM)
    • IRIM Articles and Papers
    • Georgia Robotics and InTelligent Systems Laboratory (GRITS)
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Probabilistic Life Time Maximization of Sensor Networks

    Thumbnail
    View/Open
    TACsensors13.pdf0__.pdf (146.0Kb)
    Date
    2013-02
    Author
    Jaleel, Hassan
    Rahmani, Amir R.
    Egerstedt, Magnus B.
    Metadata
    Show full item record
    Abstract
    The design of power-aware lifetime maximization algorithms for sensor networks is an active area of research. However, the standard assumption is that the performance of the sensors remains the same throughout the network’s lifetime, which is not alwaystrue. In this paper, we study the effects of power decay on the performance of individual sensors as well as of the entire network. In particular, we examine networks with decaying footprints, akin to those of RF or radar-based sensors and relate the performance of a sensor to its available power. Moreover, we propose probabilistic scheduling controllers that compensate for the effects of the decrease in power while maintaining an adequate probability of event detection under two sensing models; Boolean and non-Boolean. We simulate the performance of the proposed controllers to establish that the desired performance levels are indeed maintained throughout the lifetime of the network.
    URI
    http://hdl.handle.net/1853/49924
    Collections
    • Georgia Robotics and InTelligent Systems Laboratory (GRITS) [230]
    • Georgia Robotics and InTelligent Systems Laboratory (GRITS) Publications [230]

    Browse

    All of SMARTechCommunities & CollectionsDatesAuthorsTitlesSubjectsTypesThis CollectionDatesAuthorsTitlesSubjectsTypes

    My SMARTech

    Login

    Statistics

    View Usage StatisticsView Google Analytics Statistics
    • About
    • Terms of Use
    • Contact Us
    • Emergency Information
    • Legal & Privacy Information
    • Accessibility
    • Accountability
    • Accreditation
    • Employment
    • Login
    Georgia Tech

    © Georgia Institute of Technology

    • About
    • Terms of Use
    • Contact Us
    • Emergency Information
    • Legal & Privacy Information
    • Accessibility
    • Accountability
    • Accreditation
    • Employment
    • Login
    Georgia Tech

    © Georgia Institute of Technology