Reliable Reporting of Delay-Sensitive Events in Wireless Sensor-Actuator Networks

E. Ngai, Yangfan Zhou, Michael R. Lyu, Jiangchuan Liu
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引用次数: 52

Abstract

Wireless sensor-actuator networks, or WSANs, greatly enhance the existing wireless sensor network architecture by introducing powerful and even mobile actuators. The actuators work with the sensor nodes, but can perform much richer application-specific actions. To act responsively and accurately, an efficient and reliable reporting scheme is crucial for the sensors to inform the actuators about the environmental events. Unfortunately, the low-power multi-hop communications in a WSAN are inherently unreliable; the frequent sensor failures and the excessive delays due to congestion or in-network data aggregation further aggravate the problem. In this paper, we propose a general reliability-centric framework for event reporting in WSANs. We argue that the reliability in such a real-time system depends not only on the accuracy, but also the importance and freshness of the reported data. Our design follows this argument and seamlessly integrates three key modules that process the event data, namely, an efficient and fault-tolerant event data aggregation algorithm, a delay-aware data transmission protocol, and an adaptive actuator allocation algorithm for unevenly distributed events. Our transmission protocol also adopts smart priority scheduling that differentiates the event data of non-uniform importance. We evaluate our framework through extensive simulations, and the results demonstrate that it achieves desirable reliability with minimized delay
无线传感器-执行器网络中延迟敏感事件的可靠报告
无线传感器-执行器网络(wsan)通过引入功能强大甚至可移动的执行器,极大地增强了现有的无线传感器网络架构。执行器与传感器节点一起工作,但可以执行更丰富的特定于应用程序的操作。为了反应迅速、准确地行动,一个高效、可靠的报告方案对于传感器通知执行器有关环境事件至关重要。不幸的是,WSAN中的低功耗多跳通信本身就不可靠;频繁的传感器故障以及由于网络拥塞或网络内数据聚集造成的过多延迟进一步加剧了这一问题。在本文中,我们提出了一个通用的以可靠性为中心的wsan事件报告框架。我们认为,这种实时系统的可靠性不仅取决于报告数据的准确性,还取决于报告数据的重要性和新鲜度。我们的设计遵循这一观点,无缝集成了处理事件数据的三个关键模块,即高效容错的事件数据聚合算法、延迟感知的数据传输协议和针对不均匀分布事件的自适应执行器分配算法。我们的传输协议还采用了智能优先级调度,以区分重要性不一致的事件数据。我们通过大量的仿真来评估我们的框架,结果表明它以最小的延迟达到了理想的可靠性
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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