Research on the Strategy of Nodes Cooperative Transmission in Wireless Sensor Networks

Jia Li Li; Jian Ping Luo; Yu Hao Wang; Cheng Zhi Long

doi:10.4028/www.scientific.net/AMM.446-447.1612

Paper Titles

Range-Free Localization Algorithm in Wireless Sensor Networks with Asymmetric Links
p.1591

P2P Networks Considering Sybil-Proof with the Reputation of Social Link
p.1596

Analysis on the Accuracy of a Network Real Time Kinematic GPS Using the Steel Tape and Triangulation
p.1601

The Routing Protocols for Wireless Sensor Networks
p.1606

Research on the Strategy of Nodes Cooperative Transmission in Wireless Sensor Networks
p.1612

The Research of Frame-Relay Multipoint Interface Network Based on OSPF
p.1617

Numerical Simulation on Vortex Evolution in the Realistic Human Upper Respiratory Tract
p.1621

Game Theory and Information Security
p.1625

Comparative Analysis of Visio Based and Programming Language Based CIM/SVG Graphics-Module Power Platform Developing Technology
p.1631

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 446-447Research on the Strategy of Nodes Cooperative...

Research on the Strategy of Nodes Cooperative Transmission in Wireless Sensor Networks

Abstract:

The correlation techniques of nodes cooperative transmission strategy in wireless sensor networks with virtual MIMO are presented. A communication model between clusters is proposed. From it, we can see the correlation techniques include coding, forwarding, combining and decoding. The coding is generally divided into three categories: Layered Space-Time Coding, Space-Time Trellis Coding and Space-Time Block Coding. Forwarding can be broken down into Amplifying Forwarding, Decode Forwarding, and Selecting Dynamic Relay. Select combining, equal gain combining and maximum ratio combining are the common combine methods. The decode method is maximum likelihood algorithm.

You might also be interested in these eBooks

Advanced Research in Material Science and Mechanical Engineering

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 446-447)

Pages:

1612-1616

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.446-447.1612

Citation:

Cite this paper

Online since:

November 2013

Authors:

Jia Li Li, Jian Ping Luo, Yu Hao Wang, Cheng Zhi Long

Keywords:

Cooperative, MIMO, Virtual MIMO, Wireless Sensor Network (WSN)

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Hussain. Sajid, Azim. Anwarul, Energy efficient virtual MIMO communication for wireless sensor networks, Telecommunication System, vol. 42, pp.139-149, October (2009).

DOI: 10.1007/s11235-009-9176-7

Google Scholar

[2] Liu Yong, Sun Lifeng, and Yang Shiqing, Wireless video transmission scheme based on virtual MIMO and network coding technology, Journal of Networks, vol. 6, pp.88-95, (2011).

DOI: 10.4304/jnw.6.1.88-95

Google Scholar

[3] S. K. Jayaweera, Energy analysis of MIMO techniques in wireless sensor networks, Proc. Annu. CISS, Princeton, NJ, Mar. (2004).

Google Scholar

[4] Nosratinia A, Hunter T E, Hedayat A, Cooperative Communication in Wireless Networks., IEEE Communications Magazine, vol. 42, pp.74-80, (2004).

DOI: 10.1109/mcom.2004.1341264

Google Scholar

[5] Liu Yang, Wu Yue, Two tier detection model for misbehavior of low-power nodes in virtual MIMO based wireless networks, CA: Int. Conf. Inf. Assur. Secur., IAS, Atlanta, GA, United States, pp.155-160, August (2010).

DOI: 10.1109/isias.2010.5604051

Google Scholar

[6] Ji. Soonbae, Kim. Junghyun, Cooperative MIMO transmission scheme for the DVB-T system, CA: Int. Conf. Inf. Commun. Technol. Convergence, ICTC, Jeju, Korea, pp.94-98, November (2010).

DOI: 10.1109/ictc.2010.5674714

Google Scholar