期刊论文

Wu, Mou

英文

AEU - International Journal of Electronics and Communications

1434-8411

2017

79

307-316

10.1016/j.aeue.2017.06.002

Acknowledgements The authors would like to thank anonymous reviewers. The work described in this paper was supported by Doctor Initial of Hubei University of Science and Technology (No. BK1520), National Natural Science Foundation of China (No. 61370107 and No. 61672258) and Scientific Research Program of Hubei Provincial Department of Education (No. B2017181).

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This paper studies the distributed estimation problem of in a wireless sensor network (WSN) where the collected observations are used to estimate a deterministic network-wide parameter. We propose an adaptive distributed parameter estimation approach for WSN, named as DI-NLMS, using the incremental least-mean squares (I-LMS) technique and exploiting the spatio-temporal diversity to achieve fast convergence rate and satisfactory steady state performance. In this algorithm, every individual node shares the changes in the surrounding environment w...