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Fuzzy Logic Control Based QoS Management in Wireless Sensor/Actuator Networks

机译:无线传感器/执行器网络中基于模糊逻辑控制的QoS管理

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摘要

Wireless sensor/actuator networks (WSANs) are emerging rapidly as a new generation of sensor networks. Despite intensive research in wireless sensor networks (WSNs), limited work has been found in the open literature in the field of WSANs. In particular, quality-of-service (QoS) management in WSANs remains an important issue yet to be investigated. As an attempt in this direction, this paper develops a fuzzy logic control based QoS management (FLC-QM) scheme for WSANs with constrained resources and in dynamic and unpredictable environments. Taking advantage of the feedback control technology, this scheme deals with the impact of unpredictable changes in traffic load on the QoS of WSANs. It utilizes a fuzzy logic controller inside each source sensor node to adapt sampling period to the deadline miss ratio associated with data transmission from the sensor to the actuator. The deadline miss ratio is maintained at a pre-determined desired level so that the required QoS can be achieved. The FLC-QM has the advantages of generality, scalability, and simplicity. Simulation results show that the FLC-QM can provide WSANs with QoS support.
机译:无线传感器/执行器网络(WSAN)作为新一代传感器网络正在迅速兴起。尽管在无线传感器网络(WSN)中进行了深入研究,但在WSAN领域的开放文献中发现的工作有限。尤其是,WSAN中的服务质量(QoS)管理仍然是一个有待研究的重要问题。作为朝这个方向的尝试,本文针对资源受限且处于动态和不可预测的环境中的WSAN,开发了一种基于模糊逻辑控制的QoS管理(FLC-QM)方案。利用反馈控制技术,该方案处理流量负载中不可预测的变化对WSAN QoS的影响。它利用每个源传感器节点内部的模糊逻辑控制器来使采样周期适应与从传感器到执行器的数据传输相关的截止期限未命中率。截止期限未命中率保持在预定的期望水平,从而可以实现所需的QoS。 FLC-QM具有通用性,可伸缩性和简单性的优点。仿真结果表明,FLC-QM可以为WSAN提供QoS支持。

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