Wireless sensor network system by separating control and data path (SCDP) for bio-medical applications

There is an increasing need to develop flexible, reconfigurable, and intelligent low power wireless sensor network (WSN) system for healthcare monitoring applications. Technical advancements in micro-sensors, micro electromechanical system (MEMS) devices, low power electronics, and radio frequency (RF) circuits and systems have enabled both design and development of such highly integrated system. In this paper, we present the wireless sensor network system, which is separated into control and data paths with different transmission frequencies. The control path sends the power and function control commands from computer to each sensor nodes by 2.4 GHz band. There are four levels in the WSN system. The data path transmits measured data from sensor layer to sensor group layer by 2.4 GHz, and transmits between sensor group, application and system layers by 60 GHz. This hierarchical architecture will make it possible to reconfigurable map application to WSN. The accurate pipeline control system will advance the performance efficiently, and the adaptive low power control system will reduce lots of power consumptions.

[1]  I.E. Lamprinos,et al.  Energy-efficient MAC Protocol for Patient Personal Area Networks , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[2]  Antonio Alfredo Ferreira Loureiro,et al.  MANNA: a management architecture for wireless sensor networks , 2003, IEEE Commun. Mag..

[3]  Erfu Yang,et al.  ESPACENET: A Framework of Evolvable and Reconfigurable Sensor Networks for Aerospace–Based Monitoring and Diagnostics , 2006, First NASA/ESA Conference on Adaptive Hardware and Systems (AHS'06).

[4]  Cheng-Yan Kao,et al.  Sensor Network Design and Implementation for Health Telecare and Diagnosis Assistance Applications , 2005, 11th International Conference on Parallel and Distributed Systems (ICPADS'05).

[5]  Christian C. Enz,et al.  WiseNET: an ultralow-power wireless sensor network solution , 2004, Computer.

[6]  Ching-Hsing Luo,et al.  Wireless Thermal Sensor Network with Adaptive Low Power Design , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[7]  Ching-Hsing Luo,et al.  CMOS thermal sensing system with simplified circuits and high accuracy for biomedical application , 2006, 2006 IEEE International Symposium on Circuits and Systems.