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Modeling of Random Dense CSMA Networks

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Wireless Algorithms, Systems, and Applications (WASA 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10251))

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Abstract

In Carrier Sense Multiple Access (CSMA) media access control (MAC), two nodes that are within the range of one another can not simultaneously transmit packets. Modeling the concurrently transmitting nodes is the key to analyzing the performance of a CSMA network. In this paper, we study the density of concurrently transmitting nodes and propose a Modification of Modified Hard Core Point (MMHCP) model to accurately estimate the density of concurrently transmitting nodes. Our MMHCP best the popular Matérn CSMA model and the Modified Hard Core Point (MHCP) model by avoiding the underestimation and overestimation issues, respectively. We conduct extensive numerical analysis and simulations to evaluate the accuracy of estimation of our MMHCP. Furthermore, we study the impact of the density of initial Poisson Point Process (PPP) on the mean of aggregate interference. The simulation results demonstrate that our model is more accurate than MHCP and Matérn CSMA.

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Acknowledgments

This work is supported by NSF of China under Grant 61373027 and 61672321 and Shandong Province Higher Educational Science and Technology Program (J15LN06).

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Authors and Affiliations

  1. School of Information Science and Engineering, Qufu Normal University, Rizhao, 276826, Shandong, China

    Yuhong Sun, Honglu Jiang & Jianchao Zheng

  2. Department of Computer Science, The George Washington University, Washington, DC, 20052, USA

    Tianyi Song

Authors
  1. Yuhong Sun
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  2. Tianyi Song
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  3. Honglu Jiang
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  4. Jianchao Zheng
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Corresponding author

Correspondence to Yuhong Sun .

Editor information

Editors and Affiliations

  1. Texas Christian University, Fort Worth, Texas, USA

    Liran Ma

  2. New Jersey Institute of Technology, Newark, New Jersey, USA

    Abdallah Khreishah

  3. University of Oslo, Oslo, Norway

    Yan Zhang

  4. University of North Georgia, Dahlonega, Georgia, USA

    Mingyuan Yan

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Sun, Y., Song, T., Jiang, H., Zheng, J. (2017). Modeling of Random Dense CSMA Networks. In: Ma, L., Khreishah, A., Zhang, Y., Yan, M. (eds) Wireless Algorithms, Systems, and Applications. WASA 2017. Lecture Notes in Computer Science(), vol 10251. Springer, Cham. https://doi.org/10.1007/978-3-319-60033-8_7

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  • DOI: https://doi.org/10.1007/978-3-319-60033-8_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60032-1

  • Online ISBN: 978-3-319-60033-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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