Energy-efficient multi-hop virtual MIMO wireless sensor network

IEEE Wireless Communications and Networking Conference, WCNC

Volumn , Issue , 2007, Pages 4304-4309

  Boukerche, Azzedine ^a   Xin, Fei ^a  

^a UNIVERSITY OF OTTAWA   (Canada)

Author keywords

Energy; MIMO; Wireless sensor network

Indexed keywords

DELAY REQUIREMENTS; MIMO SYSTEMS; MULTI-HOP PATHS;

COMMUNICATION CHANNELS (INFORMATION THEORY); ELECTRIC POWER UTILIZATION; MESSAGE PASSING; NETWORK PROTOCOLS; RESPONSE TIME (COMPUTER SYSTEMS); THROUGHPUT;

WIRELESS SENSOR NETWORKS;

EID: 36349019281     PISSN: 15253511     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WCNC.2007.785     Document Type: Conference Paper

References (14)

1. A. Boukerche and S. Nikoletseas Protocols for Data Propagation in Wireless Sensors Networks, Wireles Communications Systems and Networks Kluwer Publisher , Eds. M. Guizani., 2004, pp. 23-51.
2. A. Boukerche, Regina B. Araujo, and Pazzi, R. W. N. A Fast and Reliable Protocol for Wireless Sensor Networks in Critical Conditions Monitoring Applications, In the Seventh ACM/IEEE International Symposium on Modeling, Analysis and Simulation of Wireless and Mobile Systems, Pizza, Italy, 2004. pp.157-164.
3. A. Paulraj, R. Nabar, and D. Gore, Introduction to Space-Time Wireless Communications, preprint, Cambridge University Press, Cambridge, UK, 2003.
4. Burdin, J. and Dunyak, J., Cohesion of wireless sensor networks with MIMO communications, IEEE SoutheastCon, Proceedings, 8-10 April 2005, pp.547-551
5. G.Elissaios and A.Manikas, "Multi-Carrier CDMA MIMO in Arrayed Wireless Sensor Networks", IEEE Proceedings of International Symposium on Wireless Communication Systems , September 2005, pp.483-487.
6. Jagannathan, S., Aghajan, H.; Goldsmith, A., The effect of time synchronization errors on the performance of cooperative MISO systems, IEEE Global Telecommunications Conference Workshops, 29 Nov.-3 Dec. 2004 pp.102-107
7. J. Zhang and W. K. G. Seah, Topology-based capacity analysis for ad hoc networks with end-to-end delay constraints, in Proceedings of the IEEE 6th Circuits and. Systems Symposium, on Emerging Technologies: Frontiers of Mobile and Wireless Communication, vol. 2, pp. 54.1-544, 2004.
8. Liang Xiao, Ming Xiao; A new energy-efficient MIMO-sensor network architecture M-SENMA, IEEE 60th Vehicular Technology Conference, VTC2004-Fall,Vol. 4, 26-29 Sept. 2004 pp.2941-2945.
9. S. Cui, A. J. Goldsmith, and A. Bahai, Energy-constrained modulation optimization, In IEEE Trans. on Wireless Communications, 2003. Also available at http://wsl.stanford.edu/Publications.html
10. S. K. Jayaweera, Energy analysis of MIMO techniques in wireless sensor networks, in 38th Annual Conf. on Inform. Sci. and Syst. (CISS 04), Princeton, NJ, Mar. 2004.
11. S. K. Jayaweera An energy-efficient virtual MIMO communications architecture based on V-BLAST processing for distributed wireless sensor networks, IEEE 1st International Conf. on Sensor and Ad hoc Communications and Networks (SECON 04), Santa Clara, CA, Oct. 2004 pp.299-308..
12. Wenqing Chen, Yong Yuan, Changchun Xu, Kezhong Liu, Zongkai Yang; Virtual MIMO protocol based on celling for wireless sensor network, 10th IEEE Symposium on Computers and Communications Proceedings,27-30 June 2005 pp.335-340.
13. Wenyu Liu, Xiaohua Li, Mo Chen; Energy efficiency of MIMO transmissions in wireless sensor networks with diversity and multiplexing gains, IEEE International Conference on Acoustics, Speech, and Signal Processing Proceedings. (ICASSP '05), Vol. 4, 18-23 March 2005, pp.897-900.
14. Xiaohua Li, Energy efficient wireless sensor networks with transmission diversity, IEE Electronics Letters, vol.39, pp.1753-1755, Nov. 2003.