Research challenges in wireless networks of biomedical sensors

ABSTRACT

Implanted biomedical devices have the potential to revolutionize medicine. Smart sensors, which are created by combining sensing materials with integrated circuitry, are being considered for several biomedical applications such as a glucose level monitor or a retina prosthesis. These devices require the capability to communicate with an external computer system (base station) via a wireless interface. The limited power and computational capabilities of smart sensor based biological implants present research challenges in several aspects of wireless networking due to the need for having a bio-compatible, fault-tolerant, energy-efficient, and scalable design. Further, em bedding thesesensors in humans add additional requirements. For example, the wireless networking solutions should be ultra-safe and reliable, work trouble-free in different geographical locations (although implants are typically not expected to move; they shouldn't restrict the movements of their human host), and require minimal maintenance. This necessitates application-specific solutions which are vastly different from traditional solutions.

In this paper, we describe the potential of biomedical smart sensors. We then explain the challenges for wireless networking of human-embedded smart sensor arrays and our preliminary approach for wireless networking of a retina prosthesis. Our aim is to motivate vigorous research in this area by illustrating the need for more application-specific and novel approaches toward developing wireless networking solutions for human-implanted smart sensors.

REFERENCES

• 1: National Aeronautics and Space Administration. Pill Shaped Implantable Biotelemeters, 2000. http://ctoserver.arc.nasa.gov/techbreak/biotelemeters.html.
• 2: W. A. Arbaugh, N. Shankar, and Y. C. Justin Wan. Your 802.11 Wireless Network has No Clothes. http://www.cs.umd.edu/ waa/wireless.pdf.
• 3: M. Braukus, J. Bluck, and M. Goodkind. NASA Developing Computerized Breast Cancer Diagnostic Tool. Press Release 98-184, National Aeronautics and Space Administration, October 1998. Available at ftp://ftp.hq.nasa.gov/pub/pao/pressrel/1998/98-184.txt.
• 4: John Byers , Gabriel Nasser, Utility-based decision-making in wireless sensor networks, Proceedings of the 1st ACM international symposium on Mobile ad hoc networking & computing, November 20, 2000, Boston, Massachusetts
• 5: Mobilian Corporation. Wi-Fi (802.11b) and Bluetooth Simultaneous Operation: Characterizing the Problem. http://www.mobilian.com.
• 6: Brett Warneke , Matt Last , Brian Liebowitz , Kristofer S. J. Pister, Smart Dust: Communicating with a Cubic-Millimeter Computer, Computer, v.34 n.1, p.44-51, January 2001 [doi>10.1109/2.963443]
• 7: J. Heidemann et al. Effects of Detail in Wireless Network Simulation. In SCS Multiconference on Distributed Simulation, pages 3-11, January 2001.
• 8: P. Bhagwat et al. System Design Issues for Low-Power, Low-Cost Short Range Wireless Networking. In IEEE International Conference on Personal Wireless Communications, 1999.
• 9: P. Gluche et al. Diamond for Medical Applications. In High Care 2000, February 2000.
• 10: S. Reveneau et al. Nitric Oxide Synthase in Human Breast Cancer is Associated with Tumor Grade, Proliferation Rate, and Expression of Progesterone Receptors. Laboratory Investionations, 79(10):1215-1225, October 1999.
• 11: Deborah Estrin , Ramesh Govindan , John Heidemann , Satish Kumar, Next century challenges: scalable coordination in sensor networks, Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking, p.263-270, August 15-19, 1999, Seattle, Washington, United States [doi>10.1145/313451.313556]
• 12: The Working Group for WLAN Standards. IEEE 802.11 Wireless Local Area Networks. http://www.manta.ieee.org/groups/802/11/.
• 13: Wendi Rabiner Heinzelman , Anantha Chandrakasan , Hari Balakrishnan, Energy-Efficient Communication Protocol for Wireless Microsensor Networks, Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8, p.8020, January 04-07, 2000
• 14: L. Hu. Topology Control for Multihop Packet Radio Networks. IEEE Transactions on Communications, 41(10):1474-1481, October 1993.
• 15: S. Keshav, An engineering approach to computer networking: ATM networks, the Internet, and the telephone network, Addison-Wesley Longman Publishing Co., Inc., Boston, MA, 1997
• 16: National Institute of Diabetes, Digestive, and Kidney Diseases. Diabetes Statistics. NIH Publication No. 99-3892, National Institute of Health, March 1999.
• 17: U.S. Department of Health and Human Services. 2000 Annual Report of U.S. Scientific Registry for Transplant Recipients and the Organ Procurement and Transplantation Network: Transplant Data: 1990-1999.
• 18: National Council on Radiation and Measurements. A Practical Guide to the Determination of Human Exposure to Radio Frequency Fields. Report no. 119, NCRP, Bethseda, MD, 1993.
• 19: R. Ramanathan and R. Rosales-Hain. Topology Control of Multihop Wireless Networks using Transmit Power Adjustment. In INFOCOM, pages 404-413, 2000.
• 20: Ayad Salhieh , Jennifer Weinmann , Manish Kochhal , Loren Schwiebert, Power Efficient Topologies for Wireless Sensor Networks, Proceedings of the 2001 International Conference on Parallel Processing, p.156-166, September 03-07, 2001
• 21: American Cancer Society. Cancer Facts and Figures. http://www3.cancer.org/cancerinfo/.
• 22: Bluetooth Open Specification. Bluetooth Home Page. http://www.bluetooth.com/.
• 23: Z. Tang and J. J. Garcia-Luna-Aceves. A Protocol for Topology-Dependent Transmission Scheduling in Wireless Networks. In IEEE Wireless Communications and Networking Conference, 1999.
• 24: J. Walker. Unsafe at any key size: an analysis of WEP encapsulation. http://grouperieee.org/groups/802/11/Documents/DocumentHolder/0- 362.zip.
• 25: T. G. Zimmerman, Personal area networks: near-field intrabody communication, IBM Systems Journal, v.35 n.3-4, p.609-617, 1996

INDEX TERMS

Primary Classification:
  C. Computer Systems Organization
  C.2 COMPUTER-COMMUNICATION NETWORKS
      C.2.1 Network Architecture and Design
          Subjects: Wireless communication

Additional Classification:
  C. Computer Systems Organization
  C.1 PROCESSOR ARCHITECTURES
      C.1.3 Other Architecture Styles
          Subjects: Cellular architecture (e.g., mobile)

  J. Computer Applications
  J.3 LIFE AND MEDICAL SCIENCES
      Subjects: Health

General Terms:
Measurement, Performance, Theory