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Iterative Decoding for Redistributing Energy Consumption in Wireless Sensor Networks

Maunder, R. G., Weddell, A. S., Merrett, G. V., Al-Hashimi, B. M. and Hanzo, L. (2008) Iterative Decoding for Redistributing Energy Consumption in Wireless Sensor Networks. In: International Conference on Computer Communications and Networks, 3-7 August 2008, St. Thomas, U.S. Virgin Islands.

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Abstract

In this paper, we propose a method for desirably redistributing a wireless sensor network's energy consumption from its sensor nodes (which may have scarce energy resources obtained through energy harvesting, for example) to its central node (which often has an abundant energy resource, such as the mains). At the cost of increasing the central node's decoding complexity, our method facilitates (1) a significant reduction in the number of times the sensor nodes are required to retransmit data owing to transmission errors and/or (2) a reduction of up to 3.99 dB in the sensor node's total transmit energy consumption. We show that our approach can reduce the overall energy consumption of transmitting sensor nodes by more than 20% in practice.

Item Type:Conference or Workshop Item
Creator/Authors:
R. G. Maunder
A. S. Weddell
G. V. Merrett
B. M. Al-Hashimi
L. Hanzo
Keywords:Wireless Sensor Networks, Iterative Decoding, Rate-1 Coding, Spreading, Energy, Complexity
Research Group:Current ECS Groups > Communications, Signal Processing and Control
Current ECS Groups > Electronic and Software Systems
Current ECS Groups > Electronics and Electrical Engineerineering
Old ECS Groups > Pervasive System Centre
Date:3 August 2008
Information about this record:
Performance Indicator:EZ~05~05~04
Citations:Google Scholar: 2
Downloads (2010):105
ID Code:15724
Last Modified:23 Sep 2011 10:36
Deposited On:16 May 2008 03:32 by Maunder, Robert

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References in Article

Select the SEEK icon to attempt to find the referenced article. If it does not appear to be in this archive you will be forwarded to the paracite service. Poorly formated references will probably not work.

[1] Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low-Rate Wireless Personal Area Networks (WPANs), IEEE Std. 802.15.4, September 2006.

[2] L. Hanzo, L.-L. Yang, E.-L. Kuan, and K. Yen, Single and Multi-Carrier DS-CDMA: Multi-User Detection, Space-Time Spreading, Synchronisation and Standards. John Wiley and Sons, 2003.

[3] L. Hanzo, S. X. Ng, T. Keller, and W. Webb, Quadrature Amplitude Modulation. Chichester, UK: Wiley, 2004.

[4] J. Hagenauer, E. Offer, and L. Papke, “Iterative decoding of binary block and convolutional codes,” IEEE Transactions on Information Theory, vol. 42, no. 2, pp. 429–445, March 1996.

[5] R. Herzog, J. Hagenauer, and A. Schmidbauer, “Soft-in/soft-out Hadamard despreader for iterative decoding in the IS-95(A) system,” in Proceedings of the IEEE Vehicular Technology Conference, vol. 2, Phoenix, AZ, USA, May 1997, pp. 1219–1222.

[6] S. Benedetto and G. Montorsi, “Serial concatenation of block and convolutional codes,” Electronics Letters, vol. 32, no. 10, pp. 887–888, May 1996.

[7] D. Divsalar, S. Dolinar, and F. Pollara, “Serial concatenated trellis coded modulation with rate-1 inner code,” in Proceedings of the IEEE Global Telecommunications Conference, vol. 2, San Francisco, CA, USA, November 2000, pp. 777–782.

[8] S. Benedetto and G. Montorsi, “Iterative decoding of serially concatenated convolutional codes,” Electronics Letters, vol. 32, no. 13, pp. 1186–1188, June 1996.

[9] M. E. Magana, D. H. Buck, and J. Speidel, “Improvement of data rate performance of wireless local area networks through the use of orthogonal code division multiplexing (OCDM), multipath diversity, and parallel concatenated channel encoding,” Wireless Personal Communications, vol. 25, no. 4, pp. 293–305, July 2003.

[10] M. Bykowski, “Performance of turbo codes with SOVA algorithm in DSSS over channels with non-white additive Gaussian noise,” in Proceedings of the Advanced Industrial Conference on Telecommunications, Lisbon, Portugal, July 2005, pp. 226–229.

[11] H. A. Cirpan and M. K. Tsatsanis, “Chip interleaving in direct sequence CDMA systems,” in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 5, Munich, Germany, April 1997, pp. 3877–3880.

[12] R. H. Mahadevappa and J. G. Proakis, “Mitigating multiple access interference and intersymbol interference in uncoded CDMA systems with chip-level interleaving,” IEEE Transactions on Wireless Communications, vol. 1, no. 4, pp. 781–792, October 2002.

[13] B. Vucetic, Y. Li, L. C. Perez, and F. Jiang, “Recent advances in turbo code design and theory,” Proceedings of the IEEE, vol. 95, no. 6, pp. 1323–1344, June 2007.

[14] S. Crozier and P. Guinand, “High-performance low-memory interleaver banks for turbo-codes,” in Proceedings of the IEEE Vehicular Technology Conference, vol. 4, Atlantic City, NJ, USA, October 2001, pp. 2394–2398.

[15] D. E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley, 1989.

[16] L. Hanzo, T. H. Liew, and B. L. Yeap, Turbo Coding, Turbo Equalisation and Space Time Coding for Transmission over Wireless Channels. Chichester, UK: Wiley, 2002.

[17] I. Land, P. Hoeher, and S. Gligorevic, “Computation of symbol-wise mutual information in transmission systems with log APP decoders and application to EXIT charts,” in Proceedings of the International ITG Conference on Source and Channel Coding, Erlangen, Germany, January 2004, pp. 195–202.

[18] S. ten Brink, “Convergence of iterative decoding,” Electronics Letters, vol. 35, no. 10, pp. 806–808, May 1999.

[19] L. Bahl, J. Cocke, F. Jelinek, and J. Raviv, “Optimal decoding of linear codes for minimizing symbol error rate (Corresp.),” IEEE Transactions on Information Theory, vol. 20, no. 2, pp. 284–287, March 1974.

[20] G. D. Forney, “Review of random tree codes,” NASA Ames Research Center, Moffett Field, CA, USA, Tech. Rep. NASA CR73176, December 1967.

[21] L. Dinoi and S. Benedetto, “Design of fast-prunable S-random interleavers,” IEEE Transactions on Wireless Communications, vol. 4, no. 5, pp. 2540–2548, September 2005.

[22] A True System-on-Chip Solution for 2.4 GHz IEEE 802.15.4 / Zig-Bee(TM) Datasheet, Chipcon, June 2007.

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