Energy-constrained optimal quantization for wireless sensor networks

2004 First Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, IEEE SECON 2004

Volumn , Issue , 2004, Pages 272-278

  Luo, Xiliang ^a   Giannakis, Georgios B ^a  

^a University of Minnesota   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BINARY SYMMETRIC CHANNEL (BSC); MEDIUM ACCESS CONTROL (MAC); OPTIMAL QUANTIZATION; WIRELESS SENSOR NETWORKS (WSN);

BIT ERROR RATE; COMPUTER SIMULATION; CONSTRAINT THEORY; ENERGY DISSIPATION; OPTIMIZATION; SENSORS; TELECOMMUNICATION NETWORKS; TRANSCEIVERS;

WIRELESS TELECOMMUNICATION SYSTEMS;

EID: 20344389500     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. J. M. Rabaey, M. J. Ammer, J. L. da Silva, D. Patel, and S. Roundy, "PicoRadio Supports Ad Hoc Ultra-Low Power Wireless Networking," IEEE Computer, vol. 33, July 2000, pp. 42-48.
2. A. J. Goldsmith and S. B. Wicker, "Design Challenges for Energy-Constrained Ad Hoc Wireless Networks," IEEE Wireless Communications, vol. 9, Aug. 2002, pp. 8-27.
3. S. Cui, A. J. Goldsmith, and A. Bahai, "Modulation Optimization under Energy Constraints," in Proceedings of IEEE International Conference on Communications, Anchorage, Alaska, USA, May 2003, pp. 2805-2811.
4. st Annual Joint Conference of the IEEE Computer and Communications Societies, New York, vol. 3, June 2002, pp. 1567-1576.
5. A. Michail and A. Ephremides, "Energy Efficient Routing for Connnection Oriented Traffic in Ad-hoc Wireless Networks," in Proceedings of the 11th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, London, UK, Sep. 2000, pp. 762-766.
6. Z.-Q. Luo, "Universal Decentralized Estimation in a Bandwidth Constrained Sensor Network," Submitted to IEEE Transactions on Information Theory, 2003, available at http://www.ece.umn.edu/users/luozq/recent_work.html.
7. M. Dong and L. Tong, "Source Reconstruction via Mobile Agents in Sensor Networks: Throughput- Distrotion Characteristics," in Proceedings of IEEE Military Communications Conference, Boston, MA, USA, Oct. 2003, pp. 694-698.
8. N. Farvardin and V. Vaishampayan, "Optimal Quantizer Design for Noisy Channles: An Approach to Combined Soure-Channel Coding," IEEE Transactions on Information Theory, vol. 33, no. 6, Nov. 1987, pp. 827-838.
9. P. Ishwar, A. Kumar, and K. Ramchandran, "Distributed Sampling for Dense Sensor Networks: a "bit-conservation" Principle," in Proceedings of Information Processing in Sensor Networks: Second International Workshop, Palo Alto, CA, USA, Apr. 2003, pp. 17-31.
10. R. Pun, P. Ishwar, S. S. Pradhan, and K. Ramchandran, "Rate-constrained robust estimation for unreliable sensor networks," in Proceedings of the 36th Asilomar Conference on Signals, Systems and Computers, vol. 1, Pacific Grove, CA, Nov. 2002, pp. 235-239.
11. S. Boyd and L. Vandenberghe, Convex Optimization, Chapters 5 and 11, Cambridge University Press, 2004.
12. J. G. Proakis, Digital Communications, Chapter 5, McGraw-Hill, 4th Edition, 2001.
13. S. M. Kay, Fundamentals of Statistical Signal Processing: Estimation Theory, Chapter 6, Prentice Hall, 1993.
14. T. S. Rappaport, Wireless Communications - Principles and Practice, Chapter 4, Prentice Hall, 2nd Edition, 2001.