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

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https://doi.org/10.1057/9780230253179y regarded as one of the most popular and useful approaches to filtering problem, it usually assumes that the system model is precise and that the external noises are white Gaussian. Such assumptions may not hold in many practical applications. In this case, one may resort to other useful filtering

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Kalman Fusion Estimation for WSNs with Nonuniform Estimation Rates, usually constrained in energy. As usually did in WSNs, one may purposively close the sensor nodes to save power during certain time interval and wake them up when necessary. That is to say, in many situations, it is not necessary for sensors to transmit measurements and generate estimates at every