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Optimal quantization in energy-constrained sensor networks under imperfect transmission

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4 Author(s)
Li Zhang ; Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA ; Tao Cui ; Ho, T. ; Xian-Da Zhang

This paper addresses the optimization of quantization at local sensors under strict energy constraint and imperfect transmission to improve the reconstruction performance at the fusion center in the wireless sensor networks (WSNs). We present optimized quantization scheme including the optimal quantization bit rate and the optimal transmission power allocation among quantization bits for BPSK signal and binary orthogonal signal with envelope detection, respectively. The optimization of the quantization is formulated as a convex problem and the optimal solution is derived analytically in both cases. Simulation results demonstrate the effectiveness of our proposed quantization schemes.

Published in:

Information Sciences and Systems, 2009. CISS 2009. 43rd Annual Conference on

Date of Conference:

18-20 March 2009