Frontiers of Electrical and Electronic Engineering >
Energy-efficient design of VMIMO for WSN applications
Received date: 16 Aug 2011
Accepted date: 01 Jun 2012
Published date: 05 Sep 2012
Copyright
Wireless sensor networks (WSNs) have been paid more attention in recent years. However, energy efficiency is still a troublesome issue in real WSN applications. In this paper, we studied the performance of a virtual multiple-input multiple-output (VMIMO)-based communications architecture for WSN applications. By analyzing the bit error rate (BER) of each cooperative branch, we presented the closed-form expressions for optimal transmitting power (TP) scheme in K×1 VMIMO cluster-based system. Then, the impact of the number of cooperating nodes on energy efficiency with energy-per-useful-bit (EPUB) metric was studied. Performance enhancement of the strategy with optimal TP assignment was verified by extensive simulations under different scenes. A thorough explanation of optimally choosing the number of cooperating nodes was also delivered by the aid of simulation verifications.
Baoqiang KAN , Jianhua FAN . Energy-efficient design of VMIMO for WSN applications[J]. Frontiers of Electrical and Electronic Engineering, 2012 , 7(3) : 286 -292 . DOI: 10.1007/s11460-012-0201-3
1 |
Akyildiz I F, Su W, Sankarasubramaniam Y, Cayirci E. Wireless sensor networks: A survey. Computer Networks, 2002, 38(4): 393–422
|
2 |
Ren F Y, Huang H N, Lin C. Wireless sensor networks. Journal of Software, 2003, 14(7): 1282–1291 (in Chinese)
|
3 |
Ma Z C, Sun Y N, Mei T. Survey on wireless sensors network. Journal of China Institute of Communications, 2004, 25(4): 114–124 (in Chinese)
|
4 |
Zhao B H, Li J, Zhan W, Qu Y G. MIMO-based energy-efficient wireless sensor networks. Acta Electronica Sinica, 2006, 34(8): 1415–1419 (in Chinese)
|
5 |
Cui S, Goldsmith A J, Bahai A. Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks. IEEE Journal on Selected Areas in Communications, 2004, 22(6): 1089–1098
|
6 |
Li X, Chen M, Liu W. Application of STBC-encoded cooperative transmissions in wireless sensor networks. IEEE Signal Processing Letters, 2005, 12(2): 134–137
|
7 |
Cover T M, El Gamal A A. Capacity theorems for the relay channel. IEEE Transactions on Information Theory, 1979, 25(5): 572–584
|
8 |
Dohler M, Gkelias A, Hamid Aghvami A. Capacity of distributed PHY-layer sensor networks. IEEE Transactions on Vehicular Technology, 2006, 55(2): 622–639
|
9 |
Jagannathan S, Aghajan H, Goldsmith A. The effect of time synchronization errors on the performance of cooperative MISO system. In: Proceedings of IEEE Global Telecommunications Conference. 2004, 102–107
|
10 |
Yuan Y, He Z H, Chen M. Virtual MIMO-based cross-layer design for wireless sensor networks. IEEE Transactions on Vehicular Technology, 2006, 55(3): 856–864
|
11 |
Laneman J N, Wornell G W. Distributed space-time-coded protocols for exploiting cooperative diversity in wireless networks. IEEE Transactions on Information Theory, 2003, 49(10): 2415–2425
|
12 |
Yang Z, Høst-Madsen A. Routing and power allocation in asynchronous Gaussian multiple-relay channels. EURASIP Journal on Wireless Communications and Networking, 2006, 2006: 056914
|
13 |
Li F, Lippman A, Wu K. Minimum energy cooperative path routing in wireless networks: An integer programming formulation. In: Proceedings of the 63rd IEEE Vehicular Technology Conference VTC06. 2006, <month>1</month>–<day>6</day>
|
14 |
Khandani A E, Abounadi J, Modiano E, Zheng L. Cooperative routing in static wireless networks. IEEE Transactions on Communications, 2007, 55(11): 2185–2192
|
15 |
Ibrahim A S, Han Z, Liu K J. Distributed energy-efficient cooperative routing in wireless networks. IEEE Transactions on Wireless Communications, 2008, 7(10): 3930–3941
|
16 |
Lakshmanan S, Sivakumar R. Diversity routing for multi-hop wireless networks with cooperative transmissions. In: Proceedings of the 6th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks. 2009, 610–618x003b2;
|
17 |
Rossi M, Tapparello C, Tomasin S. On optimal cooperator selection policies for multi-hop ad hoc networks. IEEE Transactions on Wireless Communications, 2011, 10(2): 506–518
|
18 |
Jayaweera S K. Virtual MIMO-based cooperative communication for energy-constrained wireless sensor networks. IEEE Transactions on Wireless Communications, 2006, 5(5): 984–989
|
19 |
Cui S, Goldsmith A J, Bahai A. Energy-constrained modulation optimization. IEEE Transactions on Wireless Communications, 2005, 4(5): 2349–2360
|
20 |
Chung S T, Goldsmith A J. Degrees of freedom in adaptive modulation: A unified view. IEEE Transactions on Communications, 2001, 49(9): 1561–1571
|
21 |
Boyd S, Vandenberghe L. Convex Optimization. Cambridge: Cambridge University Press, 2004
|
22 |
Li X. Energy efficient wireless sensor networks with transmission diversity. IEE Electronics Letters, 2003, 39(24): 1753–1755
|
23 |
Ammer J, Rabacy J. The energy-per-useful-bit metric for evaluating and optimizing sensor network physical layers. In: Proceedings of the 3rd Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks. 2006, 2: 695–700
|
24 |
Kan B Q, Cai L, Zhu H S, Xu Y J. Accurate energy model for WSN node and its optimal design. Journal of Systems Engineering and Electronics, 2008, 19(3): 427–433
|
/
〈 | 〉 |