Artificial Intelligence (AI) driven wireless body area networks: Challenges and directions

Honggang Wang, Mahmoud Daneshmand, Hua Fang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Scopus citations

Abstract

Significant growth of internet applications in recent years has raised a lot of challenges to networks. One of the important applications is smart and connected health (SCH), which utilizes sensing, communication networks and artificial intelligent (AI) techniques to offer healthcare services to the users. In SCH applications, Wireless Body Area Networks (WBANs) consisting of a group of Lightweight and wearable devices designed for use within the proximity of the human body, is a key infrastructure. In this short paper, we discussed the possibility of exploring AI techniques for WBANs to improve network performance and enhance health services. In addition, we present the literature review of AI driven networks for SCH, its related challenges and future directions.

Original languageEnglish
Title of host publicationProceedings - IEEE International Conference on Industrial Internet Cloud, ICII 2019
Pages428-429
Number of pages2
ISBN (Electronic)9781728129778
DOIs
StatePublished - Nov 2019
Event2nd IEEE International Conference on Industrial Internet Cloud, ICII 2019 - Orlando, United States
Duration: 10 Nov 201912 Nov 2019

Publication series

NameProceedings - IEEE International Conference on Industrial Internet Cloud, ICII 2019

Conference

Conference2nd IEEE International Conference on Industrial Internet Cloud, ICII 2019
Country/TerritoryUnited States
CityOrlando
Period10/11/1912/11/19

Keywords

  • Artificial-Intelligence
  • Smart-and-Connected-Health
  • Wireless-Body-Area-Networks

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