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A P2P multi-path routing algorithm based on Skyline operator for data aggregation in IoMT environments.

Ismail Kertiou1, Abdelkader Laouid1, Benharzallah Saber2

  • 1LIAP Laboratory, University of El Oued, El Oued, Algeria.

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Summary
This summary is machine-generated.

This study introduces P2P-IoMT, a novel routing protocol for the Internet of Medical Things (IoMT) that enhances network energy and packet delivery. It addresses wireless sensor network congestion for improved healthcare applications.

Keywords:
Data routingDistributed systemsHealthcareInternet of Medical ThingsRouting metricsSkylineWireless sensor networks

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Area of Science:

  • Biomedical Engineering
  • Computer Science
  • Network Engineering

Background:

  • Wireless Sensor Networks (WSNs) and the Internet of Medical Things (IoMT) offer significant healthcare benefits.
  • Limited communication and network congestion are critical challenges in IoMT applications.
  • Existing routing protocols struggle to efficiently manage IoMT network resources.

Purpose of the Study:

  • To introduce P2P-IoMT, a dynamic, on-demand routing protocol for IoMT networks.
  • To address network congestion and improve energy efficiency in IoMT.
  • To enhance parent selection using multi-criteria decision-making for optimal routing.

Main Methods:

  • Developed the P2P-IoMT protocol based on LOADng for point-to-point routing.
  • Implemented dynamic composite routing metrics for congestion reduction.
  • Utilized the Skyline technique for multi-criteria parent selection by nodes.

Main Results:

  • P2P-IoMT demonstrated superior residual network energy and packet delivery ratio compared to existing protocols.
  • Achieved a 4% extension in network lifetime.
  • Maintained comparable packet delivery ratio and communication delay to LRRE.

Conclusions:

  • P2P-IoMT effectively mitigates congestion and enhances energy efficiency in IoMT networks.
  • The protocol offers dynamic path selection and configurable routing metrics.
  • P2P-IoMT represents a significant advancement for reliable and efficient healthcare applications using IoMT.