Monitoring Systems White Papers
Parallelized Simulated Annealing for Model Updating in Ad-Hoc Wireless Sensing Networks
Overview The engineering community has recently begun to adopt wireless sensing technologies for use in many sensing applications. These low-cost sensors provide an optimal setting for dense sensing networks, and can make large amounts of sensor data available. Also, the computational power embedded within each sensing node allows a wireless network to interrogate data within the network and in real-time. In a monitoring situation, these capabilities can be leveraged to detect and locate changes in system properties that could be an early indication of malfunction within a complex physical system. In this paper, a distributed model updating technique is embedded within the computational core of a wireless sensing network.
| Publisher | University of Michigan | File Format | |
|---|---|---|---|
| Date Published | May 2007 | ||
| Format | White Papers | ||
| Topics | |||
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