Separately, context-aware sensing and networked sensing systems have been fast progressing research domains. The emergence of wireless sensor networks (WSN) has introduced a way of implementing a distributed self-organized intelligence in myriads of sensing applications. In this work, WSN and sensing technologies are combined to monitor behaviour of a target object in real time.

The work focuses on design and implementation of a distributed adaptive networked system for strain mapping in a wooden table. The strain gauge deployment layout is designed based on comparison between simulated strain results and strain interpolation on various numbers of sensors. Clustering of densely deployed strain sensors, data collection and processing is organized using tiered wireless network. Experiments with various load masses placed on the table demonstrated that consistent and meaningful strain maps can be built on measured data. While the approach is demonstrated on a strain sensing application, it represents a platform for fully wireless distributed networked sensing that is sufficiently generic and flexible to suit several different application domains.