Q-Learning Based Dynamic Routing Protocol with Low Latency and High Reliability for Medical Data Collection System Using Body Area Networks 


Vol. 44,  No. 11, pp. 2090-2101, Nov.  2019
10.7840/kics.2019.44.11.2090


PDF
  Abstract

A Body Area Network(BAN) continuously collects body data to enable real-time monitoring of the user’s health. Because sensors are limited in resource such as battery, there is a demand for energy efficiency, also the latency should be minimized for real-time data collection. In addition it is important to manage the collected body data in the data station inside the building for the user’s health care and quick response in case of problems. In this paper, we propose dynamic data routing protocol for a medical information collection system in a healthcare facility. First of all, the BAN considers the requirements for latency, network lifetime and energy efficiency. In order to transmit the collected data to the base station inside the medical-related building, a separate wireless network is constructed in the building and the optimal path considering energy efficiency is searched. To consider the dynamic environment, routing protocols for each purpose were designed based on Q-Learning. The simulation results show that the proposed method derives the optimal path.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

Y. Choi, J. Kwon, H. Na, S. Yoo, "Q-Learning Based Dynamic Routing Protocol with Low Latency and High Reliability for Medical Data Collection System Using Body Area Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 44, no. 11, pp. 2090-2101, 2019. DOI: 10.7840/kics.2019.44.11.2090.

[ACM Style]

Yoo-Jin Choi, Jeong-Hoon Kwon, Ho-Jeong Na, and Sang-Jo Yoo. 2019. Q-Learning Based Dynamic Routing Protocol with Low Latency and High Reliability for Medical Data Collection System Using Body Area Networks. The Journal of Korean Institute of Communications and Information Sciences, 44, 11, (2019), 2090-2101. DOI: 10.7840/kics.2019.44.11.2090.

[KICS Style]

Yoo-Jin Choi, Jeong-Hoon Kwon, Ho-Jeong Na, Sang-Jo Yoo, "Q-Learning Based Dynamic Routing Protocol with Low Latency and High Reliability for Medical Data Collection System Using Body Area Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 44, no. 11, pp. 2090-2101, 11. 2019. (https://doi.org/10.7840/kics.2019.44.11.2090)