The design of an intelligent wireless sensor network for ubiquitous healthcare

Hossein Fariborzi; Mahmoud Moghavvemi; Saeid Mehrkanoon

doi:10.1109/ICIAS.2007.4658419

The design of an intelligent wireless sensor network for ubiquitous healthcare

Hossein Fariborzi^*, Mahmoud Moghavvemi, Saeid Mehrkanoon

^*Corresponding author for this work

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

15 Scopus citations

Abstract

This paper proposes the architecture of a wireless sensor network for remote monitoring of biomedical signals from multiple patients in hospital setting. The system addresses the strict requirements of high-density and moderate-mobility scenarios such as energy-awareness, self-healing, low data delivery delay and transmission reliability. The network is based on IEEE 802.15.4 standard and emerging ZigBee technology for low power and low rate data transmission. An optimized source routing protocol has been presented to control the network traffic load and energy consumption of the battery-powered nodes and hence increase the average delivery rate and effective network lifetime. The preliminary prototypes acquire and transmit 2-lead ECG through the license-free 2.4 GHz band.

Original language	English (US)
Title of host publication	2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007
Pages	414-417
Number of pages	4
DOIs	https://doi.org/10.1109/ICIAS.2007.4658419
State	Published - 2007
Externally published	Yes
Event	2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007 - Kuala Lumpur, Malaysia Duration: Nov 25 2007 → Nov 28 2007

Other

Other	2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007
Country/Territory	Malaysia
City	Kuala Lumpur
Period	11/25/07 → 11/28/07

ASJC Scopus subject areas

Artificial Intelligence
Control and Systems Engineering

Access to Document

10.1109/ICIAS.2007.4658419

Cite this

@inproceedings{f365fe4f923b47d0a4d96bc4a8f9ddb9,

title = "The design of an intelligent wireless sensor network for ubiquitous healthcare",

abstract = "This paper proposes the architecture of a wireless sensor network for remote monitoring of biomedical signals from multiple patients in hospital setting. The system addresses the strict requirements of high-density and moderate-mobility scenarios such as energy-awareness, self-healing, low data delivery delay and transmission reliability. The network is based on IEEE 802.15.4 standard and emerging ZigBee technology for low power and low rate data transmission. An optimized source routing protocol has been presented to control the network traffic load and energy consumption of the battery-powered nodes and hence increase the average delivery rate and effective network lifetime. The preliminary prototypes acquire and transmit 2-lead ECG through the license-free 2.4 GHz band.",

author = "Hossein Fariborzi and Mahmoud Moghavvemi and Saeid Mehrkanoon",

year = "2007",

doi = "10.1109/ICIAS.2007.4658419",

language = "English (US)",

isbn = "1424413559",

pages = "414--417",

booktitle = "2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007",

note = "2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007 ; Conference date: 25-11-2007 Through 28-11-2007",

}

Fariborzi, H, Moghavvemi, M & Mehrkanoon, S 2007, The design of an intelligent wireless sensor network for ubiquitous healthcare. in 2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007., 4658419, pp. 414-417, 2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007, Kuala Lumpur, Malaysia, 11/25/07. https://doi.org/10.1109/ICIAS.2007.4658419

TY - GEN

T1 - The design of an intelligent wireless sensor network for ubiquitous healthcare

AU - Fariborzi, Hossein

AU - Moghavvemi, Mahmoud

AU - Mehrkanoon, Saeid

PY - 2007

Y1 - 2007

N2 - This paper proposes the architecture of a wireless sensor network for remote monitoring of biomedical signals from multiple patients in hospital setting. The system addresses the strict requirements of high-density and moderate-mobility scenarios such as energy-awareness, self-healing, low data delivery delay and transmission reliability. The network is based on IEEE 802.15.4 standard and emerging ZigBee technology for low power and low rate data transmission. An optimized source routing protocol has been presented to control the network traffic load and energy consumption of the battery-powered nodes and hence increase the average delivery rate and effective network lifetime. The preliminary prototypes acquire and transmit 2-lead ECG through the license-free 2.4 GHz band.

AB - This paper proposes the architecture of a wireless sensor network for remote monitoring of biomedical signals from multiple patients in hospital setting. The system addresses the strict requirements of high-density and moderate-mobility scenarios such as energy-awareness, self-healing, low data delivery delay and transmission reliability. The network is based on IEEE 802.15.4 standard and emerging ZigBee technology for low power and low rate data transmission. An optimized source routing protocol has been presented to control the network traffic load and energy consumption of the battery-powered nodes and hence increase the average delivery rate and effective network lifetime. The preliminary prototypes acquire and transmit 2-lead ECG through the license-free 2.4 GHz band.

UR - http://www.scopus.com/inward/record.url?scp=57949108087&partnerID=8YFLogxK

U2 - 10.1109/ICIAS.2007.4658419

DO - 10.1109/ICIAS.2007.4658419

M3 - Conference contribution

AN - SCOPUS:57949108087

SN - 1424413559

SN - 9781424413553

SP - 414

EP - 417

BT - 2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007

T2 - 2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007

Y2 - 25 November 2007 through 28 November 2007

ER -

The design of an intelligent wireless sensor network for ubiquitous healthcare

Abstract

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this