We define the use of Bayesian Networks for fault detection in the perception mechanism of context-aware ubiquitous systems. This paper1 describes the complete working of such a f...
The structural health of airframes is often monitored by analysis of the frequency of occurrence matrix (FOOM) produced after each flight. Each cell in the matrix records a stres...
We study the detection performance of large scale sensor networks, configured as trees with bounded height, in which information is progressively compressed as it moves towards th...
The system and network architecture for static sensornets is largely solved today with many stable commercial solutions now available and standardization efforts underway at the I...
Many event-driven localization methods have been proposed as low cost, energy efficient solutions for wireless senor networks. In order to eliminate the requirement of accurately...