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Related Experiment Video

Updated: Mar 27, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

An Efficient Next Hop Selection Algorithm for Multi-Hop Body Area Networks.

Vahid Ayatollahitafti¹, Md Asri Ngadi², Johan Bin Mohamad Sharif²

¹Department of Computer Science, Taft Branch, Islamic Azad University, Taft, Yazd, Iran.

|January 16, 2016

Summary

This study introduces an energy-efficient algorithm for multi-hop Body Area Networks (BANs) to improve data transmission for healthcare. The novel approach enhances energy savings, reduces delay, and boosts packet delivery for better patient monitoring.

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Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band

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Published on: May 2, 2018

Area of Science:

Biomedical Engineering
Wireless Sensor Networks
Telemedicine

Background:

Body Area Networks (BANs) are crucial for remote patient monitoring, collecting vital signs via sensors.
Energy efficiency and Quality of Service (QoS) are key challenges in multi-hop BANs for healthcare applications.

Purpose of the Study:

To propose a novel, energy-efficient next hop selection algorithm for multi-hop Body Area Networks (BANs).
To ensure Quality of Service (QoS) requirements, including low end-to-end delay and high reliability, are met for healthcare applications.

Main Methods:

Developed a joint minimum hop count and link cost function for next hop selection in BAN nodes.
The link cost function incorporates residual energy, free buffer size, and link reliability of neighboring nodes.
Evaluated the algorithm's performance using extensive simulations in the NS-2 simulator.

Main Results:

The proposed algorithm demonstrated significant improvements in energy consumption compared to existing protocols.
Achieved notable enhancements in the number of packets forwarded and packet delivery ratio.
Successfully reduced end-to-end delay, meeting critical QoS requirements for healthcare data transmission.

Conclusions:

The novel next hop selection algorithm effectively balances energy consumption and QoS in multi-hop BANs.
The proposed method offers a superior solution for energy-efficient and reliable data transmission in wireless healthcare systems.
Simulation results validate the algorithm's efficiency and significant performance gains over traditional routing protocols.