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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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A secure energy-efficient routing protocol for disease data transmission using IoMT.

Samayveer Singh1,2, Aridaman Singh Nandan1,2, Geeta Sikka1,2

  • 1Department of Computer Science & Engineering, India.

Computers & Electrical Engineering : an International Journal
|June 13, 2022
PubMed
Summary

A new OptiGeA protocol for the Internet of Medical Things (IoMT) enhances wireless sensor networks (WSN) for infectious diseases. This energy-efficient system minimizes patient-provider contact using a genetic algorithm for secure data transmission.

Keywords:
ClusteringGenetic algorithmInternet of medical thingsMobile sinksWireless sensor networks

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Area of Science:

  • Computer Science
  • Health Informatics
  • Network Engineering

Background:

  • COVID-19 pandemic highlighted the need for remote patient monitoring and reduced physical interaction in healthcare.
  • Existing wireless sensor networks (WSN) face challenges in energy efficiency and security for medical applications.
  • The Internet of Medical Things (IoMT) offers potential solutions but requires optimized network protocols.

Purpose of the Study:

  • To propose a secure and energy-efficient IoMT-enabled WSN protocol for managing communicable infectious diseases.
  • To introduce the OptiGeA protocol, utilizing a genetic algorithm for optimized cluster head selection.
  • To mitigate network issues like hotspots and reduce transmission distances in healthcare WSNs.

Main Methods:

  • Development of the OptiGeA protocol featuring mobile sinks in IoT-enabled WSNs.
  • Implementation of a genetic algorithm for cluster head (CH) election based on energy, density, distance, and node capacity.
  • Proposal of a novel deployment technique and multiple mobile sink strategies.

Main Results:

  • The OptiGeA protocol demonstrated superior performance compared to existing state-of-the-art protocols.
  • Simulations confirmed enhanced efficiency in terms of various performance metrics.
  • The proposed methods effectively reduced transmission distances and mitigated hotspot issues.

Conclusions:

  • The OptiGeA protocol offers a promising solution for secure and energy-efficient IoMT-based healthcare networks.
  • The genetic algorithm-based approach optimizes WSN performance for infectious disease management.
  • The novel deployment and mobile sink strategies contribute to a more robust and reliable healthcare infrastructure.