This paper presents an approach for event-triggered wireless sensor network (WSN) application modeling, aiming to evaluate the performance of WSN configurations with regards to metrics that are meaningful to specific application domains and respective end-users. It combines application, environment-generated workload and computing/communication infrastructure within a high-level modeling simulation framework, and includes modeling primitives to represent different kind of events based on different probabilities distributions. Such primitives help end-users to characterize their application workload to capture realistic scenarios. This characterization allows the performance evaluation of specific WSN configurations, including dynamic management techniques as load balancing. Extensive experimental work shows that the proposed approach is effective in verifying whether a given WSN configuration can fulfill non-functional application requirements, such as identifying the application behavior that can lead a WSN to a break point after which it cannot further maintain these requirements. Furthermore, through these experiments, we discuss the impact of different distribution probabilities to model temporal and spatial aspects of the workload on WSNs performance, considering the adoption of dynamic and decentralized load balancing approaches.

中文翻译：

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事件触发的无线传感器网络性能评估的应用建模

本文提出了一种用于事件触发的无线传感器网络（WSN）应用程序建模的方法，旨在针对对特定应用程序域和各个最终用户有意义的指标评估WSN配置的性能。它在高级建模仿真框架中结合了应用程序，环境生成的工作负载和计算/通信基础结构，并包括建模原语以根据不同的概率分布表示不同类型的事件。这样的原语可以帮助最终用户表征其应用程序工作负载，以捕获实际情况。此特征允许评估特定WSN配置的性能，包括动态管理技术（如负载平衡）。大量的实验工作表明，所提出的方法可以有效地验证给定的WSN配置是否可以满足非功能性应用程序要求，例如确定可能导致WSN到达中断点的应用程序行为，在此之后它无法进一步满足这些要求。此外，通过这些实验，我们讨论了考虑采用动态和分散式负载平衡方法时，不同的分布概率对工作负载的时空方面建模对WSN性能的影响。