OPTIMAL CHANNEL SELECTION FOR REAL-TIME UPLINK DATA TRANSMISSIONS IN AMBULANCES

Authors

  • ANA GOULART Electronics and Telecommunications Engineering Technology Program, Texas A&M
  • WEI ZHAN Electronics and Telecommunications Engineering Technology Program, Texas A&M
  • ROBERT ARNOLD The Academy for Advanced Telecommunications and Learning Technologies, Texas A&M

Keywords:

wireless channel selection, mobile multimedia, digital ambulances, PID controller, heterogeneous networks, channel diversity, 3G

Abstract

Through wireless internet access, ambulances take advantage of the widespread cellular coverage in rural and urban areas to transfer audio, video, and vital signs to the emergency room. In the current implementation adopted by the DREAMSTM ambulances, a designated channel is selected randomly. It is used to transmit high priority data, such as vital signs and audio. The remaining channels are used for video transmission. Whenever the communication system in the ambulance detects a certain threshold of packet losses in the designated channel, the communication system randomly switches the high priority data to another wireless channel. However, the designated channel selection process does not necessarily select the best available channel. The objective of this paper is to optimize this process through proportional-integral-derivative (PID) control and optimization with feedback. For each channel, an objective function is calculated. It includes a derivative term for fast response and an integration term for detection of small but consistent differences between channels, in addition to the proportional term. Using a causal real-time optimization algorithm, the maximum objective function is continuously selected. Thus, the proposed optimal channel selection algorithm enables the ambulance’s communication system to intelligently shift the load to better quality channels without detailed information about the channels. The proposed algorithm combines key performance metrics (i.e., reliability and effective transmission rate), which can be calibrated with different weights. Using data from simulation and experiments in commercial cellular networks, we compare the performance of the ambulance with and without the algorithm to show dramatic improvements in the reliability and throughput of the ambulance’s uplink transmissions.

 

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References

Alexiou A., Bouras C., and Igglesis V. Scalable rate control for video transmission over UMTS.

International Journal of Communication Systems, 2007; 20(12): 1315-1335.

Astatke, Y., Dean, R., and Ange L., Power Performance Measure for QoS Service Management in

Mixed Networks. In the Proceedings of IEEE International Conference on Wireless and Mobile

Computing, Networking and Communication (WiMob), October 2008.

Bender, P., Block, P., Grob, M., Padovani, R., Sindhushayana, N., and Viterbi, A. CDMA/HDR:

A bandwidth-efficient high speed wireless data service for nomadic users. IEEE Communications

Magazine, 2000; 8(7): 70-77.

Borst, S. User-level performance of channel-aware scheduling algorithms in wireless data

networks. IEEE/ACM Transactions on Networking, 2005; 13(3).

Cao, Y. and Vok, L., Scheduling algorithms in broadband wireless networks. Proceedings of the

IEEE, 2001; 89(1): 76-87.

Choi, Y.J. and Bahk, S., Selective Channel Feedback Mechanisms for Wireless Multichannel

Scheduling. In the Proceedings of the IEEE International Symposium on a World of Wireless,

Mobile and Multimedia Networks (WoWMoM’06), 2006.

ElBatt, T., and Ephremides, A. Joint Scheduling and Power Control for Wireless Ad Hoc

Networks. IEEE Transactions on Wireless Communications, 2004; 3 (1): 74-85.

Ewing, R.E., Flournoy, L., and Wall, J., Texas A&M University Disaster Relief and Emergency

Medical Services (DREAMS). Technical Report, November 2006.

Fattah, H. and Leung, C. An Overview of Scheduling Algorithms in Wireless Multimedia

Networks. IEEE Wireless Communications, 2002; 9(5): 76-83.

Franklin, G., Powell, J., and Emami-Naeini, A. Feedback Control of Dynamic Systems, Prentice

Hall, 2002.

Georgetown University Hospital/MedStar Health KIDS Mobile Medical Clinic, A Verizon White

Paper: http://b2b.vzw.com/assets/files/VWS60176_Grgtwn_Medstar_CS_v1d.pdf.

Grandhi, S., Vijayan, R., Goodman, D., Zander, J. Centralized Power Control in Cellular Radio

Systems. IEEE Transactions Vehicular Technology, 1993; 42: 466-468.

Grandhi, S., Zander, J., and Yates, R. Constrained Power Control. International Journal Wireless

Personal Communications, 1995; 1 (4).

Goodman, D., Mandayam, N. Power Control for Wireless Data. IEEE Personal Communications

Magazine, 2000; 7: 48:54.

Goulart, A., and Zhan, W., A Design of Experiment (DOE) Analysis of the Performance of Uplink

Real-Time Traffic over a 3G Network. In the Proceedings of IEEE International Conference on

Wireless and Mobile Computing, Networking and Communication (WiMob), October 2008.

Iera, A., Molinaro, A., and Pizzi, S. Channel-Aware Scheduling for QoS and Fairness

Provisioning in IEEE 802.16/WiMax Broadband Wireless Access Systems. IEEE Network 2007;

(5): 34-41.

Iperf. http://iperf.sourceforge.net.

Komnakos, D., Vouyioukas, D., Maglogiannis, I., and Constantinou1, P., Performance Evaluation

of an Enhanced Uplink 3.5G System for Mobile Healthcare Applications. International Journal of

Telemedicine and Applications, 2008, Article ID 417870.

Konstantinos, B. Use of 3G mobile phone links for teleconsultation between a moving ambulance

and a base station. Journal of Telemedicine and Telecare, 2006; 12(1): 23-26.

Navarro, E. A. V., Mas, J. R., Navajas, J. F., Alcega, C. P., Performance of a 3G-Based Mobile

Telemedicine System. In the Proceedings of the IEEE Consumer Communications and

Networking Conference (CCNC), 2006; 1023-1027.

ns-2: The network simulator NS-2. http://www.isi.edu/nsnam/ns.

Parr, G., Millitary communications and technology. Computer Networks, 2004; 46 (5): 575-579.

Partridge, C., Hinden, R., Version 2 of the Reliable Data Protocol. Internet Engineering Task

Force (IETF) Request for Comments (RFC) 1151.

Peterson, L. and Davie, B., Computer Networks – A Systems Approach, Morgan Kaufmann, 2007.

Rappaport, T. , Wireless Communications – Principles and Practice. Prentice Hall, 2002.

Rodriguez, P., Chakravorty, R., Chesterfield, J., Pratt, I., and Banderjee, S., MAR: A Commuter

Router Infrastructure for the Mobile Internet. In the Proceedings of ACM MobiSys’2004.

Rosberg, Z., Zander, J., Toward a framework for power control in cellular systems. Wireless

Networks 1998; 4: 215-222.

Sahai, G., Goulart, A., Zhan, W., and Arnold, R., Optimal Selection of Wireless Channels for

Real-Time Communication in Ambulances. In the Proceedings of the IEEE Radio and Wireless

Symposium, January 2008.

Saraydar, C., Mandayam, N., and Goodman, D., Pricing and Power Control in a Multi-Cellular

Wireless Data Network. IEEE Journal of Selected Areas in Communications, 2001; 19: 1883-

Zhang, Q., Zhu, W., and Zhang, Y.Q., Resource Allocation for Multimedia Streaming over the

Internet. IEEE Transactions on Multimedia, 2001; 3(3).

Zhan, W., Goulart, A., Statistical Analysis of Broadband Wireless Links in Rural Areas. Journal

of Communications, June 2009; 4 (5): 320-328

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Published

2009-08-25

How to Cite

GOULART, A., ZHAN, W. ., & ARNOLD, R. . (2009). OPTIMAL CHANNEL SELECTION FOR REAL-TIME UPLINK DATA TRANSMISSIONS IN AMBULANCES. Journal of Mobile Multimedia, 5(4), 271–286. Retrieved from https://journals.riverpublishers.com/index.php/JMM/article/view/4791

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