Pramod K. Varshney

  1. Dynamic Bit Allocation for Object Tracking in Bandwidth Limited Sensor Networks.

    Authors: Pramod K. Varshney, Engin Masazade, Ruixin Niu
    Subjects: Applications
    Abstract

    In this paper, we study the target tracking problem in wireless sensor
    networks (WSNs) using quantized sensor measurements under limited bandwidth
    availability. At each time step of tracking, the available bandwidth $R$ needs
    to be distributed among the $N$ sensors in the WSN for the next time step. The
    optimal solution for the bandwidth allocation problem can be obtained by using
    a combinatorial search which may become computationally prohibitive for large
    $N$ and $R$.

  2. Approximation of Average Run Length of Moving Sum Algorithms Using Multivariate Probabilities.

    Authors: Swarnendu Kar, Kishan G. Mehrotra, Pramod K. Varshney
    Subjects: Methodology
    Abstract

    Among the various procedures used to detect potential changes in a stochastic
    process the moving sum algorithms are very popular due to their intuitive
    appeal and good statistical performance. One of the important design parameters
    of a change detection algorithm is the expected interval between false
    positives, also known as the average run length (ARL). Computation of the ARL
    usually involves numerical procedures but in some cases it can be approximated
    using a series involving multivariate probabilities.

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