5th International ICST Conference on Communications and Networking in China

Research Article

Energy-efficient quantization and transmission in distributed estimation

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  • @INPROCEEDINGS{10.4108/chinacom.2010.25,
        author={Yi Pan and Xiaomao Mao and Peiliang Qiu},
        title={Energy-efficient quantization and transmission in distributed estimation},
        proceedings={5th International ICST Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2011},
        month={1},
        keywords={distributed estimation energy efficient quantizaion transmission scheduling},
        doi={10.4108/chinacom.2010.25}
    }
    
  • Yi Pan
    Xiaomao Mao
    Peiliang Qiu
    Year: 2011
    Energy-efficient quantization and transmission in distributed estimation
    CHINACOM
    ICST
    DOI: 10.4108/chinacom.2010.25
Yi Pan1,*, Xiaomao Mao1,*, Peiliang Qiu1,*
  • 1: Institute of Information and Communication Engineering, Zhejiang University, Hangzhou, China
*Contact email: panyi111@zju.edu.cn, maoxm@zju.edu.cn, qiupl@zju.edu.cn

Abstract

In this paper, we investigate the problem of energy-efficient distributed estimation in wireless sensor networks. In an inhomogeneous sensing and transmission environment, the minimization of total energy is jointly determined by the optimal quantization and transmission scheduling. In order to minimize the total energy under the mean squared error (MSE) and total transmission time constraints, we design a joint algorithm which iteratively computes the optimal quantization lengths and transmission times. We proved that the algorithm is convergent. Simulations show that the iteration converges quickly, and significant energy saving can be achieved when compared with the uniform quantization and transmission scheme.