Title :
Posture-Predictive Power Control in Body Sensor Networks Using Linear-Quadratic Gaussian Control
Author :
Quwaider, Muhannad ; Muhammad, Azizah ; Choi, Jongeun ; Biswas, Subir
Author_Institution :
Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA
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.
Keywords :
biomedical equipment; body sensor networks; linear quadratic Gaussian control; patient monitoring; LQGI approach; Linear-Quadratic Gaussian control; body sensor networks; implanted sensors; on body wireless links; posture predictive power control; wearable sensors; Attenuation; Biomedical monitoring; Body sensor networks; Communication system control; Power control; Power engineering and energy; Power system modeling; Radio frequency; Wearable sensors; Wireless sensor networks; Body Area Sensor Network; Closed Loop Control; LQGI; Transmission Power Assignment;
Conference_Titel :
Networks and Communications, 2009. NETCOM '09. First International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4244-5364-1
Electronic_ISBN :
978-0-7695-3924-9
DOI :
10.1109/NetCoM.2009.33
