Scientific Results

  • ID:
    publications-5402
  • Type:
    Article
  • Year:
    2020
  • Authors:
    Wei Z.; Pagani A.; Li B.; Guo W.
  • Title:
    Monitoring Embedded Flow Networks Using Graph Fourier Transform Enabled Sparse Molecular Relays
  • Venue/Journal:
    IEEE Communications Letters
  • DOI:
    10.1109/LCOMM.2020.2978835
  • Research type:
  • Water System:
  • Technical Focus:
  • Abstract:
    Many embedded networks are difficult to monitor, such as water distribution networks (WDNs). A key challenge is how to use minimum sparse sensors to measure contamination and transmit contamination data to a hub for system analysis. Existing approaches deploy sensors using multi-objective optimisation and transmit the data using ground penetrating waves or fixed-line access. Here, for the first time, we introduce a novel molecular communication relay system, which is able to transmit the data report to the hub via the water-flow of WDN itself, and avoids the complex ground penetrating techniques. A water flow data-driven Graph Fourier Transform (GFT) sampling method is designed to inform the invariant orthogonal locations for deploying the molecular relay sensors. Each sensor encodes information via a DNA molecule that enables the common hub to reconstruct the full contamination information. Numerical simulation validates the proposed system, providing a pathway to integrate MC into macro-scale Digital Twin platforms for infrastructure monitoring. Β© 1997-2012 IEEE.
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