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Towards a flexible event-detection model for wireless sensor networks

The majority of event-based solutions for wireless sensor networks (WSNs) are evaluated considering a given event-detection model, such as a fixed radius. Such models are used to validate algorithms for different problems in WSNs, such as coverage, routing, density control, and target tracking. However, current models are not suitable for every scenario. Usually, the detection efficacy depends on several factors, such as environmental conditions, sensor reliability, measurement methods, and event characteristics. In this work, we propose a probabilistic detection-model that aims at modeling different scenarios, and can be configured to properly approximate other detection models adopted in WSNs. We simulate the detection capability of our model in comparison to the popular fixed radius.