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Innovative AI and sensor tech enhance early wildfire detection, enabling rapid response to mitigate disaster impacts.

This paper addresses the distributed state estimation problem of smart sensor networks affected by fading channels and constraints. An event-triggered distributed moving horizon estimation method is proposed from a robust perspective. Specifically, by considering the worst-case scenario of fading channels, the estimator in our proposed method is formulated as a minimax optimization problem with bound constraints. An event trigger mechanism (ETM) is incorporated to regulate information exchange among nodes. Sufficient conditions ensuring the local input-to-state consistent stability (LISCS) and...

To build healthier, more resilient, efficient, comfortable, engaging, and intelligent communities for the future, modern city managers are deploying sensors.