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An Energy-Efficient T-Based Routing Topology for Target Tracking in Battery Operated Mobile Wireless Sensor Networks.

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Fuzzy-Based Dynamic Time Slot Allocation forWireless Body Area Networks.

Sangeetha Pushpan1, Bhanumathi Velusamy2

  • 1Department of Electronics and Communication Engineering, Anna University Regional Campus, Coimbatore, India. cpsangis@gmail.com.

Sensors (Basel, Switzerland)
|May 10, 2019
PubMed
Summary

This study introduces a dynamic time slot allocation scheme for wireless body area networks (WBANs) in fog-assisted remote patient monitoring. The novel approach enhances reliability and energy efficiency, reducing delays for critical medical data transmission.

Keywords:
fog computingfuzzyhealthcaremedium accessslot allocationwireless body area networks

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Area of Science:

  • Wireless Body Area Networks (WBANs)
  • Fog Computing
  • Internet of Medical Things (IoMT)

Background:

  • Wireless Body Area Networks (WBANs) are increasingly vital for real-time patient monitoring, but traditional medium access control standards struggle with bursty, critical data, leading to performance issues.
  • Existing systems face challenges in balancing reliability, energy efficiency, and low latency, particularly for life-critical remote patient monitoring applications.
  • The limitations of fixed time slot assignments in conventional standards necessitate advanced communication techniques for efficient data handling.

Purpose of the Study:

  • To propose a dynamic time slot allocation scheme within a fog-assisted network for real-time remote patient monitoring systems.
  • To enhance the reliability, energy efficiency, and channel utilization of WBANs for critical healthcare applications.
  • To reduce time slot wastage and network delay through intelligent resource management.

Main Methods:

  • Implementation of a fog-assisted network architecture for remote patient monitoring.
  • Development of a dynamic time slot allocation scheme utilizing fuzzy logic with inputs: energy ratio, buffer ratio, and packet arrival rate.
  • Introduction of an energy-efficient minimum cost parent selection algorithm for data packet routing.

Main Results:

  • The proposed dynamic slot allocation scheme significantly reduces time slot wastage and network delay.
  • The system demonstrates improved reliability and maximum channel utilization compared to conventional methods.
  • Evaluations show superior performance in packet delivery ratio, average end-to-end delay, and average energy consumption against IEEE 802.15.4 and telemedicine protocols.

Conclusions:

  • The dynamic time slot allocation scheme in fog-assisted networks offers a reliable and energy-efficient solution for real-time remote patient monitoring.
  • Fuzzy logic effectively manages WBAN resources, optimizing performance for delay-sensitive and critical medical data.
  • The proposed approach represents a significant advancement over existing standards for healthcare communication networks.