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Source identification under sensor observations: A Gaussian source estimator
chapterposted on 2019-01-01, 00:00 authored by Jiaojiao Jiang, Sheng Wen, Shui Yu, Bo Liu, Yang Xiang, Wanlei Zhou
© Springer Nature Switzerland AG 2019. In this chapter, we introduce a propagation source estimator under sensor observations: Gaussian source estimator. According to Chap. 5, sensors are firstly injected into networks, and then the propagation dynamics over these sensor nodes are collected, including their states, state transition time and infection directions. There have been many approaches proposed under sensor observations, including Bayesian based method, Gaussian based method, Moon-Walk based method, etc. Here, we particular present the details of the Bayesian based method. For the techniques involved in other methods, readers could refer to Chap. 9 for details.