SpringerOpen Newsletter

Receive periodic news and updates relating to SpringerOpen.

This article is part of the series Multiuser Cooperative Diversity for Wireless Networks.

Open Access Research Article

A Novel Cluster-Based Cooperative MIMO Scheme for Multi-Hop Wireless Sensor Networks

Yong Yuan1*, Min Chen2 and Taekyoung Kwon3

Author Affiliations

1 Department of Electronics and Information, Huazhong University of Science and Technology, Wuhan 430074, China

2 Department of Electrical and Computer Engineering, University of British Columbia, BC, Canada, V6T 1Z4

3 School of Computer Science and Engineering, Seoul National University, Seoul 151742, South Korea

For all author emails, please log on.

EURASIP Journal on Wireless Communications and Networking 2006, 2006:072493  doi:10.1155/WCN/2006/72493

The electronic version of this article is the complete one and can be found online at: http://jwcn.eurasipjournals.com/content/2006/1/072493


Received:4 November 2005
Revisions received:11 April 2006
Accepted:26 May 2006
Published:20 June 2006

© 2006 Yuan et al.

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

A cluster-based cooperative multiple-input-multiple-output (MIMO) scheme is proposed to reduce the adverse impacts caused by radio irregularity and fading in multi-hop wireless sensor networks. This scheme extends the LEACH protocol to enable the multi-hop transmissions among clusters by incorporating a cooperative MIMO scheme into hop-by-hop transmissions. Through the adaptive selection of cooperative nodes and the coordination between multi-hop routing and cooperative MIMO transmissions, the scheme can gain effective performance improvement in terms of energy efficiency and reliability. Based on the energy consumption model developed in this paper, the optimal parameters to minimize the overall energy consumption are found, such as the number of clusters and the number of cooperative nodes. Simulation results exhibit that the proposed scheme can effectively save energy and prolong the network lifetime.

References

  1. V Tarokh, H Jafarkhani, AR Calderbank, Space-time block codes from orthogonal designs. IEEE Transactions on Information Theory 45(5), 1456–1467 (1999). Publisher Full Text OpenURL

  2. S Cui, AJ Goldsmith, A Bahai, Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks. IEEE Journal on Selected Areas in Communications 22(6), 1089–1098 (2004). Publisher Full Text OpenURL

  3. X Li, Energy efficient wireless sensor networks with transmission diversity. IEE Electronics Letters 39(24), 1753–1755 (2003). Publisher Full Text OpenURL

  4. X Li, M Chen, W Liu, Application of STBC-encoded cooperative transmissions in wireless sensor networks. IEEE Signal Processing Letters 12(2), 134–137 (2005)

  5. SK Jayaweera, Energy analysis of MIMO techniques in wireless sensor networks. Proceedings of 38th Annual Conference on Information Sciences and Systems (CISS '04), March 2004, Princeton, NJ, USA

  6. S Cui, AJ Goldsmith, A Bahai, Energy-constrained modulation optimization. IEEE Transactions on Wireless Communications 4(5), 2349–2360 (2005)

  7. CS Park, KB Lee, Transmit power allocation for BER performance improvement in multicarrier systems. IEEE Transactions on Communications 52(10), 1658–1663 (2004). Publisher Full Text OpenURL

  8. WB Heinzelman, AP Chandrakasan, H Balakrishnan, An application-specific protocol architecture for wireless microsensor networks. IEEE Transactions on Wireless Communications 1(4), 660–670 (2002). Publisher Full Text OpenURL

  9. Y Yu, B Krishnamachari, VK Prasanna, Energy-latency tradeoffs for data gathering in wireless sensor networks. Proceedings of 23rd Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM '04), March 2004, Hong Kong 1, 244–255