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

Muhannad Quwaider, Azizah Muhammad, Jongeun Choi, Subir Biswas

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publication1st International Conference on Networks and Communications, NetCoM 2009
Pages52-59
Number of pages8
DOIs
Publication statusPublished - 2009 Dec 1
Event1st International Conference on Networks and Communications, NetCoM 2009 - Chennai, India
Duration: 2009 Dec 272009 Dec 29

Publication series

Name1st International Conference on Networks and Communications, NetCoM 2009

Other

Other1st International Conference on Networks and Communications, NetCoM 2009
CountryIndia
CityChennai
Period09/12/2709/12/29

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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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