A wireless sensor network framework for large-scale industrial water pollution monitoring

Design and implementation of Wireless Sensor Networks (WSNs) is a challenging task because WSN research is usually application specific and each application requirement brings with it a different set of constraints and design objectives. Effective use of WSNs in large scale and long-term monitoring of industrial water pollution requires satisfying two inherently contradicting requirements particular to this domain. On the one hand, it has to be time critical in order to provide early warning during compliance violations. On the other hand, it requires long-term data collection from a large number of distributed industrial sites for trend analysis for decision-making. We present the design of a comprehensive framework for using WSNs in industrial water pollution monitoring to assist environment authorities in decision-making regarding water pollution. The suitability and effectiveness of our proposed framework is verified with an experiment using the discrete-event simulator Castalia based on the OMNeT++ simulation platform.