Exploiting Geometric Advantages of Cooperative Communications for Energy Efficient Wireless Sensor Networks

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Author(s)  

Irfan AHMED, Mugen PENG, Wenbo WANG

Affiliation(s)

Wireless Signal Processing and Network Lab Beijing University of Posts and Telecommunications, Beijing, P.R.China.
Wireless Signal Processing and Network Lab Beijing University of Posts and Telecommunications, Beijing, P.R.China.
Wireless Signal Processing and Network Lab Beijing University of Posts and Telecommunications, Beijing, P.R.China.

ABSTRACT

Energy efficiency and enhanced backbone capacity is obtained by exploiting the geometric orientation of cooperative nodes in wireless sensor network. The cooperative communication in wireless sensor networks (WSN) gives us leverage to get the inherent advantages of its random node’s locations and the direction of the data flow. Depending on the channel conditions and the transmission distance, the number of cooperative nodes is selected, that participate in an energy efficient transmission/reception. Simulation results show that increasing the cooperative receive diversity, decreases the energy consumption per bit in cooperative communications. It has also been shown that the network backbone capacity can be increased by controlled displacement of antennas at base station at the expense of energy per bit.

 

KEYWORDS

Cooperative Communication, Energy Efficiency, Capacity, Receive Diversity Sensor Network.

Cite this paper

AHMED, I. , PENG, M. and WANG, W. (2008) Exploiting Geometric Advantages of Cooperative Communications for Energy Efficient Wireless Sensor Networks. Int'l J. of Communications, Network and System Sciences, 1, 55-61. doi: 10.4236/ijcns.2008.11008.

 

References

[1]	A. Paulraj, R. Nabar, and D. Gore, Introduction to Space-Time Wireless Communications, Cambridge Univ. Press, 2003.
[2]	C. Shuguang and A. Goldsmith, “Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks,” IEEE J. Select. Areas in Comm., vol. 22, no. 6, pp. 1089–1098, Aug.2004.
[3]	Wenyu Liu Xiaohua Li Mo Chen, “Energy efficiency of MIMO transmissions in wireless sensor networks with diversity and multiplexing gains,” Acoustics, Speech, and Signal Processing, 2005. Proc. (ICASSP’05). IEEE International Conference, Vol.: 4, On page(s): iv/897- iv/900 Vol. 4 March 2005
[4]	Wenfeng Li; Weike Chen; Xinzhu Ming, “A Local-centralized Adaptive Clustering Algorithm for Wireless Sensor Networks,” Proc. -15th Int’l Conf. on Computer Comm. and Networks, Oct. 2006 Page(s):149 – 154
[5]	SangHak Lee; JuneJae Yoo; TaeChoong Chung; “Distance based energy efficient clustering for wireless sensor networks,” 29th Annual IEEE International Conference on Local Computer Networks, 2004, 16-18 Nov. 2004 Page(s):567 – 568
[6]	O. Younis and S. Fahmy, “Distributed Clustering in Adhoc Sensor Networks: A Hybrid, Energy-Efficient Approach”, IEEE INFOCOM 2004, Mar. 2004.
[7]	Y. Xu, J. Heidemann, and D. Estrin, “Geography-Informed Energy Conservation for Ad Hoc Routing,” MOBICOM 2000, Rome, Italy, July 2001, pp. 70-84
[8]	Sankaranarayanan, L.; Kramer, G.; Mandayam, N.B.; “Hierarchical sensor networks: capacity bounds and cooperative strategies using the multiple-access relay channel model,” First Annual IEEE Comm. Society Conference on Sensor and Ad Hoc Comm. and Networks 2004.
[9]	J. N. Laneman, D. N. C. Tse, and G. W. Wornell, “Cooperative diversity in wireless networks: Efficient protocols and outage behavior,” IEEE Trans. on Information Theory, vol. 22, no. 12, pp. 3062–3080, Dec 2004.
[10]	Yong Yuan, Min Chen, Tackyong, “A Novel Cluster-based Cooperative MIMO Scheme for Multihop Wireless Sensor Networks”, EURASIP Journal on Wireless and Networking, Vol 2006, Article ID 72493, page 1-9.
[11]	S. Alamouti, “A simple transmit diversity technique for wireless communications,” IEEE J. Select. Areas Commun., vol. 16, pp. 1451–1458, Oct. 1998
[12]	Joseph Polastre, Robert Szewczyk, and David Culler, “Telos: Enabling Ultra-Low Power Wireless Research,” Proceedings of the 4th Int’l symposium on Information processing in sensor networks, Los Angeles, California, Apr.2005
[13]	P.F. Driessen, G.J. Foschini, “On the capacity of multiple- input multiple-output wireless channels: a geometric interpretation,” IEEE Trans. Commun., vol. 47, No.2, pp.173-176, Feb. 1999
[14]	S. K. Jayaweera, “Virtual MIMO-based cooperative communications for energy-constraint wireless sensor networks”, IEEE Trans. on wireless comm., Vol. 5, No. 5, May 2006             eww150205lx