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Connectivity Model for Molecular Communication-Based Nanomachines Network in Normal and Sub-diffusive Regimes

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Proceedings of the Second International Conference on Computer and Communication Technologies

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 379))

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Abstract

Nanomachines network is an interconnection of nanomachines (NMs) capable of communicating with each other. NMs networks are expected to provide an intelligent alternative to contemporary wireless sensor networks due to their biocompatibility, pervasiveness, and energy efficiency. However, connectivity issues of NMs networks are yet to be explored fully. This paper presents a probabilistic connectivity model for molecular communication-based NMs network which involves transmission of a message via diffusion of messenger molecules. This model has been developed through signal to interference and noise ratio (SINR) analysis considering effects of co-channel interference (CCI) and intersymbol interference (ISI). It is found that ISI is the dominating factor in degrading the network connectivity than CCI. Also, results have shown that selection of symbol time is crucial and should depend on internode distance (or transmission range), for higher network connectivity. Physical obstructions in transmission media lead to anomalous diffusive behavior. This paper has investigated effects of sub-diffusion on the connectivity of NMs network to reveal that presence of physical obstructions can be a favorable condition in MC-based NMs networks if symbol time is adjusted accordingly.

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Authors and Affiliations

  1. Veermata Jijabai Technological Institute, Mumbai, 19, India

    Prachi Raut & Nisha Sarwade

Authors
  1. Prachi Raut
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  2. Nisha Sarwade
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Correspondence to Prachi Raut .

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Editors and Affiliations

  1. Dept. of Computer Science and Engineering, Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, India

    Suresh Chandra Satapathy

  2. Department of CSE, CMR Technical Campus, Hyderabad, India

    K. Srujan Raju

  3. Computer Science & Engineering, Kalyani University, Nadia, West Bengal, India

    Jyotsna Kumar Mandal

  4. Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges, Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

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Raut, P., Sarwade, N. (2016). Connectivity Model for Molecular Communication-Based Nanomachines Network in Normal and Sub-diffusive Regimes. In: Satapathy, S., Raju, K., Mandal, J., Bhateja, V. (eds) Proceedings of the Second International Conference on Computer and Communication Technologies. Advances in Intelligent Systems and Computing, vol 379. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2517-1_25

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  • DOI: https://doi.org/10.1007/978-81-322-2517-1_25

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2516-4

  • Online ISBN: 978-81-322-2517-1

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