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

Honggang Wang; Mahmoud Daneshmand; Hua Fang

doi:10.1109/ICII.2019.00079

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

Honggang Wang
, Mahmoud Daneshmand
, Hua Fang

School of Business

University of Massachusetts Dartmouth

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	Proceedings - IEEE International Conference on Industrial Internet Cloud, ICII 2019
Pages	428-429
Number of pages	2
ISBN (Electronic)	9781728129778
DOIs	https://doi.org/10.1109/ICII.2019.00079
State	Published - Nov 2019
Event	2nd IEEE International Conference on Industrial Internet Cloud, ICII 2019 - Orlando, United States Duration: 10 Nov 2019 → 12 Nov 2019

Publication series

Name	Proceedings - IEEE International Conference on Industrial Internet Cloud, ICII 2019

Conference

Conference	2nd IEEE International Conference on Industrial Internet Cloud, ICII 2019
Country/Territory	United States
City	Orlando
Period	10/11/19 → 12/11/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

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

Access to Document

10.1109/ICII.2019.00079

Cite this

Wang, H., Daneshmand, M., & Fang, H. (2019). Artificial Intelligence (AI) driven wireless body area networks: Challenges and directions. In Proceedings - IEEE International Conference on Industrial Internet Cloud, ICII 2019 (pp. 428-429). Article 9065097 (Proceedings - IEEE International Conference on Industrial Internet Cloud, ICII 2019). https://doi.org/10.1109/ICII.2019.00079

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title = "Artificial Intelligence (AI) driven wireless body area networks: Challenges and directions",

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.",

keywords = "Artificial-Intelligence, Smart-and-Connected-Health, Wireless-Body-Area-Networks",

author = "Honggang Wang and Mahmoud Daneshmand and Hua Fang",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2nd IEEE International Conference on Industrial Internet Cloud, ICII 2019 ; Conference date: 10-11-2019 Through 12-11-2019",

year = "2019",

month = nov,

doi = "10.1109/ICII.2019.00079",

language = "English",

series = "Proceedings - IEEE International Conference on Industrial Internet Cloud, ICII 2019",

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booktitle = "Proceedings - IEEE International Conference on Industrial Internet Cloud, ICII 2019",

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Wang, H, Daneshmand, M & Fang, H 2019, Artificial Intelligence (AI) driven wireless body area networks: Challenges and directions. in Proceedings - IEEE International Conference on Industrial Internet Cloud, ICII 2019., 9065097, Proceedings - IEEE International Conference on Industrial Internet Cloud, ICII 2019, pp. 428-429, 2nd IEEE International Conference on Industrial Internet Cloud, ICII 2019, Orlando, United States, 10/11/19. https://doi.org/10.1109/ICII.2019.00079

Artificial Intelligence (AI) driven wireless body area networks: Challenges and directions. / Wang, Honggang; Daneshmand, Mahmoud; Fang, Hua.
Proceedings - IEEE International Conference on Industrial Internet Cloud, ICII 2019. 2019. p. 428-429 9065097 (Proceedings - IEEE International Conference on Industrial Internet Cloud, ICII 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Daneshmand, Mahmoud

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AB - 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.

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KW - Smart-and-Connected-Health

KW - Wireless-Body-Area-Networks

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DO - 10.1109/ICII.2019.00079

M3 - Conference contribution

AN - SCOPUS:85085940978

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BT - Proceedings - IEEE International Conference on Industrial Internet Cloud, ICII 2019

Y2 - 10 November 2019 through 12 November 2019

ER -

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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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