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The classical sequential change detection problem [1] aims at detecting a change in the state of a system from the normal state to the abnormal state at a random time T. The state of the system can not be observed directly and is observed only partially through the noisy observations Xk which are obtained at discrete time instants k = 1, 2, 3, ... . Given the state of the system, Xks are conditionally...
We consider the problem of event detection in wireless sensor networks (WSNs) that are large in the sense that an event affects the statistics of the observations of a small number of sensors in the vicinity of where it occurs. An event occurs at a random time at a random location in the region (called the region of interest, ROI) covered by the WSN. We consider a distance based sensing model in which...
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