Parallelized Simulated Annealing for Model Updating in Ad-Hoc Wireless Sensing Networks

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. Using a novel distributed implementation of the simulated annealing method, an ad-hoc network of wireless sensing units can determine updated system properties by iteratively matching data derived from an analytical model of the system with collected sensor data. By comparing...

• Type: Conference
• Year: 2007
• Where: MDM
• Authors: Andrew T. Zimmerman, Jerome P. Lynch
• Keywords: MDM 2007, Sensing Network, Wireless Sensing, Wireless Sensing Network