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5th International Workshop on Spatial Stochastic Models for Wireless Networks

Research Article

On the k-Coverage of Line Segments by a Non Homogeneous Poisson-Boolean Model

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BibTeX Plain Text
  • @INPROCEEDINGS{10.1109/WIOPT.2009.5291571,
        author={Siripuram Aditya and Pallavi Manohar and D. Manjunath},
        title={On the k-Coverage of Line Segments by a Non Homogeneous Poisson-Boolean Model},
        proceedings={5th International Workshop on Spatial Stochastic Models for Wireless Networks},
        publisher={IEEE},
        proceedings_a={SPASWIN},
        year={2009},
        month={10},
        keywords={Non homogenous poisson boolean model coverage path coverage k-coverage},
        doi={10.1109/WIOPT.2009.5291571}
    }
    
  • Siripuram Aditya
    Pallavi Manohar
    D. Manjunath
    Year: 2009
    On the k-Coverage of Line Segments by a Non Homogeneous Poisson-Boolean Model
    SPASWIN
    IEEE
    DOI: 10.1109/WIOPT.2009.5291571
Siripuram Aditya1,*, Pallavi Manohar1,*, D. Manjunath1,*
  • 1: Department of Electrical Engg., IIT Bombay, Mumbai, INDIA
*Contact email: staditya@ee.iitb.ac.in, pallavim@ee.iitb.ac.in, dmanju@ee.iitb.ac.in

Abstract

We consider k-coverage of a line by a two-dimensional, non homogeneous Poisson-Boolean model. This has applications in sensor networks. We extend the analysis of cite{Stadje89} to the case for k > 1. The extension requires us to define a vector Markov process that tracks the k segments that have the longest residual coverage at a point. This process is used to determine the probability of a segment of the line being completely covered by k or more sensors. We illustrate the extension by considering the case of k=2.

Keywords
Non homogenous poisson boolean model coverage path coverage k-coverage
Published
2009-10-23
Publisher
IEEE
Modified
2010-05-16
http://dx.doi.org/10.1109/WIOPT.2009.5291571
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