Mobile medical application model for heterogeneous networks

This paper presents a model for mobile medical applications for a near --real-time binary data exchange over heterogeneous networks. The model was tested with a software simulation and a real fully mobile system which monitors oxygenated hemoglobin (HBO) and deoxygenated hemoglobin (HB) concentration changes in the brain and tissues. The system used global system for mobile communications (GSM) Bluetooth networks and the internet. The application used the proposed model. The model consists of four processing nodes: the first node collect data from the brain and send it to the second node over a short range network; the second node act as a intermediate mobile server that holds capture data and transmit it over a long range networks; the third node act a remote server that store data for long term, the fourth ac as a monitoring station that monitor test subjects in near-real-time.

[1]  Jennifer Bray,et al.  Bluetooth 1.1: Connect Without Cables, Second Edition , 2001 .

[2]  P. Bonato,et al.  Wearable Wireless Sensor Network to Assess Clinical Status in Patients with Neurological Disorders , 2007, 2007 6th International Symposium on Information Processing in Sensor Networks.

[3]  Lama Nachman,et al.  Intel Mote: using Bluetooth in sensor networks , 2004, SenSys '04.

[4]  Srinivasan Keshav,et al.  Why cell phones will dominate the future internet , 2005, CCRV.

[5]  Dharma P. Agrawal,et al.  On the application of traffic engineering over bluetooth ad hoc networks , 2003, MSWIM '03.

[6]  Mark D. Yarvis,et al.  Design and deployment of industrial sensor networks: experiences from a semiconductor plant and the north sea , 2005, SenSys '05.

[7]  John Anderson,et al.  Wireless sensor networks for habitat monitoring , 2002, WSNA '02.

[8]  A. Kansal,et al.  Building a Sensor Network of Mobile Phones , 2007, 2007 6th International Symposium on Information Processing in Sensor Networks.

[9]  Ronaldo Menezes,et al.  The role of social structures in mobile ad-hoc networks , 2005, ACM-SE 43.

[10]  Erik Johnson,et al.  Is a bot at the controls?: Detecting input data attacks , 2007, NetGames '07.

[11]  Wei Hong,et al.  A macroscope in the redwoods , 2005, SenSys '05.

[12]  Véronique Vèque,et al.  An efficient link management algorithm for high mobility mesh networks , 2007, MobiWac '07.

[13]  Andrzej Duda,et al.  Efficient mobile access to the WWW over GSM , 1998, EW 8.

[14]  Vijay Kumar,et al.  Sensor: the atomic computing particle , 2003, SGMD.

[15]  Rajiv Chakravorty,et al.  GPRSWeb: optimizing the web for GPRS links , 2003, MobiSys '03.