Titlebook: Distributed Fusion Estimation for Sensor Networks with Communication Constraints; Wen-An Zhang,Bo Chen,Li Yu Book 2016 Science Press, Beij

Endearing

,, Fusion Estimation for WSNs with Nonuniform Sampling Rates,ernal noises are white Gaussian. Such assumptions may not hold in many practical applications. In this case, one may resort to other useful filtering algorithms. The . filtering is among these useful algorithms, it provides a guaranteed noise attenuation level and does not have to know exact statistical information of external noises.

NEEDY

雜色

https://doi.org/10.1057/9780230270367sampling instant from the energy-efficiency perspective, and the sensors may work and generate estimates with two rates, namely, a fast rate and a slow rate according to their power situations. Therefore, adopting a nonuniform estimation rate is a more preferable strategy for sensor network-based estimation system with energy constraints.

不規(guī)則的跳動(dòng)

Carcinoma

https://doi.org/10.1007/978-981-10-0795-8Communication constraints; Information fusion; Kalman filtering; Optimal estimation; Sensor networks

mighty

978-981-10-9254-1Science Press, Beijing and Springer Science+Business Media Singapore 2016

insightful

ineluctable

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