Distributed Adaptive Networked System for Strain Mapping

Abstract

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 behavior of a target object. The paper presents design and implementation of a distributed adaptive networked system for strain mapping in a wooden table. The system is intended to provide real-time data on strain development in the target object. 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 on capturing the evolution of strain distribution in an object subject to various loading conditions were carried out and results are reported.