A Cross-Layer Approach for Cooperative MIMO Multi-hop Wireless Sensor Networks
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33104
A Cross-Layer Approach for Cooperative MIMO Multi-hop Wireless Sensor Networks

Authors: Jain-Shing Liu

Abstract:

In this work, we study the problem of determining the minimum scheduling length that can satisfy end-to-end (ETE) traffic demand in scheduling-based multihop WSNs with cooperative multiple-input multiple-output (MIMO) transmission scheme. Specifically, we present a cross-layer formulation for the joint routing, scheduling and stream control problem by incorporating various power and rate adaptation schemes, and taking into account an antenna beam pattern model and the signal-to-interference-and-noise (SINR) constraint at the receiver. In the context, we also propose column generation (CG) solutions to get rid of the complexity requiring the enumeration of all possible sets of scheduling links.

Keywords: Wireless Sensor Networks, Cross-Layer Design, CooperativeMIMO System, Column Generation.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1084420

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1650

References:


[1] S. K. Jayaweera, and H. Vincent Poor. Capacity of multiple-antenna systems with both receiver and transmitter channel state information. IEEE Trans. on Information Theory, 49(10):2697-2709, Oct. 2003.
[2] R. S. Blum. MIMO capacity with interference. IEEE JASC, 21:793-801, June 2003.
[3] R. Narasimhan. Spatial multiplexing with transmit antenna and constellation selection for correlated MIMO fading channels. IEEE Trans. on Signal Processing, 51(11):2829-2838, Nov. 2003.
[4] S. Cui, A. J. Goldsmith, and A. Bahai. Energy-Efficiency of MIMO and cooperative MIMO techniques in sensor networks. IEEE Journal on Selected Areas in Communications, 22(6):1089-1098, Aug. 2003.
[5] M. Dohler, E. Lefranc, and H. Aghvami. Space-time block codes for virtual antenna arrays. in PIMRC, Lisbon, Portugal, Sept. 2002.
[6] H. Ochiai, P. Mirtan, and H. V. Poor. Collaborative beamforming for distributed wireless ad hoc sensor networks. IEEE Transactions on Signal Process, 53(11):4110-4124, 2005.
[7] A. Sendonaris, E. Erkip, and B. Aazhang. Under cooperation diversity part I: system description. IEEE Transactions on Communications, 51(11):1927-1938, 2003.
[8] C. A. Balanis. Antenna Theory (3rd Ed.). John Wiley and Sons, Inc., 2005.
[9] D. Tse and P. Viswanath. Fundamentals of Wireless Communication. Cambridge University Press, 2005.
[10] R. Nelson and L. Kleinrock. Spatial-TDMA: a collision-free multihop channel access control. IEEE Transactions on Communications, 33:934- 944, Sep. 1985.
[11] M. S. Bazaraa, J. J. Jarvis, and H. D. Sherali. Linear programming and networks flows (3rd edition). John Wiley and Sons, 2005.
[12] P. Bjorklund, P. Varbrand and Di Yuan. Resource optimization of spatial TDMA in ad hoc radio networks: a column generation approach. IEEE INFOCOM-03, pages 818-824, 2003.
[13] K. Hardwick, D. Goeckel, D. Towsley, K. Leung, and Z. Ding. Antenna Beam Pattern Model for Cooperative Ad-Hoc Networks. ACITA 08, Sept. 2008.