Posture-predictive power control in body sensor networks using Linear-Quadratic Gaussian control

Muhannad Quwaider; Azizah Muhammad; Jongeun Choi; Subir Biswas

doi:10.1109/NetCoM.2009.33

Posture-predictive power control in body sensor networks using Linear-Quadratic Gaussian control

Muhannad Quwaider, Azizah Muhammad, Jongeun Choi, Subir Biswas

Department of Mechanical Engineering

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

8 Citations (Scopus)

Abstract

This paper presents a novel transmission power assignment mechanism for on-body wireless links formed between severely energy-constrained wearable and implanted sensors. The objective is to develop a model based framework in which RF signal strength is predicted and is regulated at a reference value. In particular, the body movement has been modeled as a stochastic linear system and a quantized Linear Quadratic Gaussian control with an Integrator (LQGI) approach has been utilized to achieve this objective. Experimental results from linear and binary search based closed-loop design along with simulation results from LQGI approach are presented and compared. It is shown that the LQGI approach with quantizer is able to enhance the performance of the system.

Original language	English
Title of host publication	1st International Conference on Networks and Communications, NetCoM 2009
Pages	52-59
Number of pages	8
DOIs	https://doi.org/10.1109/NetCoM.2009.33
Publication status	Published - 2009
Event	1st International Conference on Networks and Communications, NetCoM 2009 - Chennai, India Duration: 2009 Dec 27 → 2009 Dec 29

Publication series

Name	1st International Conference on Networks and Communications, NetCoM 2009

Other

Other	1st International Conference on Networks and Communications, NetCoM 2009
Country/Territory	India
City	Chennai
Period	09/12/27 → 09/12/29

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Electrical and Electronic Engineering

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10.1109/NetCoM.2009.33

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Quwaider, M., Muhammad, A., Choi, J., & Biswas, S. (2009). Posture-predictive power control in body sensor networks using Linear-Quadratic Gaussian control. In 1st International Conference on Networks and Communications, NetCoM 2009 (pp. 52-59). [5384031] (1st International Conference on Networks and Communications, NetCoM 2009). https://doi.org/10.1109/NetCoM.2009.33

@inproceedings{5903a28091b5456390096d611a945d78,

title = "Posture-predictive power control in body sensor networks using Linear-Quadratic Gaussian control",

abstract = "This paper presents a novel transmission power assignment mechanism for on-body wireless links formed between severely energy-constrained wearable and implanted sensors. The objective is to develop a model based framework in which RF signal strength is predicted and is regulated at a reference value. In particular, the body movement has been modeled as a stochastic linear system and a quantized Linear Quadratic Gaussian control with an Integrator (LQGI) approach has been utilized to achieve this objective. Experimental results from linear and binary search based closed-loop design along with simulation results from LQGI approach are presented and compared. It is shown that the LQGI approach with quantizer is able to enhance the performance of the system.",

author = "Muhannad Quwaider and Azizah Muhammad and Jongeun Choi and Subir Biswas",

year = "2009",

doi = "10.1109/NetCoM.2009.33",

language = "English",

isbn = "9780769539249",

series = "1st International Conference on Networks and Communications, NetCoM 2009",

pages = "52--59",

booktitle = "1st International Conference on Networks and Communications, NetCoM 2009",

note = "1st International Conference on Networks and Communications, NetCoM 2009 ; Conference date: 27-12-2009 Through 29-12-2009",

}

Quwaider, M, Muhammad, A, Choi, J & Biswas, S 2009, Posture-predictive power control in body sensor networks using Linear-Quadratic Gaussian control. in 1st International Conference on Networks and Communications, NetCoM 2009., 5384031, 1st International Conference on Networks and Communications, NetCoM 2009, pp. 52-59, 1st International Conference on Networks and Communications, NetCoM 2009, Chennai, India, 09/12/27. https://doi.org/10.1109/NetCoM.2009.33

Posture-predictive power control in body sensor networks using Linear-Quadratic Gaussian control. / Quwaider, Muhannad; Muhammad, Azizah; Choi, Jongeun et al.
1st International Conference on Networks and Communications, NetCoM 2009. 2009. p. 52-59 5384031 (1st International Conference on Networks and Communications, NetCoM 2009).

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

TY - GEN

T1 - Posture-predictive power control in body sensor networks using Linear-Quadratic Gaussian control

AU - Quwaider, Muhannad

AU - Muhammad, Azizah

AU - Choi, Jongeun

AU - Biswas, Subir

PY - 2009

Y1 - 2009

N2 - This paper presents a novel transmission power assignment mechanism for on-body wireless links formed between severely energy-constrained wearable and implanted sensors. The objective is to develop a model based framework in which RF signal strength is predicted and is regulated at a reference value. In particular, the body movement has been modeled as a stochastic linear system and a quantized Linear Quadratic Gaussian control with an Integrator (LQGI) approach has been utilized to achieve this objective. Experimental results from linear and binary search based closed-loop design along with simulation results from LQGI approach are presented and compared. It is shown that the LQGI approach with quantizer is able to enhance the performance of the system.

AB - This paper presents a novel transmission power assignment mechanism for on-body wireless links formed between severely energy-constrained wearable and implanted sensors. The objective is to develop a model based framework in which RF signal strength is predicted and is regulated at a reference value. In particular, the body movement has been modeled as a stochastic linear system and a quantized Linear Quadratic Gaussian control with an Integrator (LQGI) approach has been utilized to achieve this objective. Experimental results from linear and binary search based closed-loop design along with simulation results from LQGI approach are presented and compared. It is shown that the LQGI approach with quantizer is able to enhance the performance of the system.

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DO - 10.1109/NetCoM.2009.33

M3 - Conference contribution

AN - SCOPUS:77949838293

SN - 9780769539249

T3 - 1st International Conference on Networks and Communications, NetCoM 2009

SP - 52

EP - 59

BT - 1st International Conference on Networks and Communications, NetCoM 2009

T2 - 1st International Conference on Networks and Communications, NetCoM 2009

Y2 - 27 December 2009 through 29 December 2009

ER -

Posture-predictive power control in body sensor networks using Linear-Quadratic Gaussian control

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