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

机译:基于模糊逻辑控制的无线传感器/执行器Qos管理   网络

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摘要

Wireless sensor/actuator networks (WSANs) are emerging rapidly as a newgeneration of sensor networks. Despite intensive research in wireless sensornetworks (WSNs), limited work has been found in the open literature in thefield of WSANs. In particular, quality-of-service (QoS) management in WSANsremains an important issue yet to be investigated. As an attempt in thisdirection, this paper develops a fuzzy logic control based QoS management(FLC-QM) scheme for WSANs with constrained resources and in dynamic andunpredictable environments. Taking advantage of the feedback controltechnology, this scheme deals with the impact of unpredictable changes intraffic load on the QoS of WSANs. It utilizes a fuzzy logic controller insideeach source sensor node to adapt sampling period to the deadline miss ratioassociated with data transmission from the sensor to the actuator. The deadlinemiss ratio is maintained at a pre-determined desired level so that the requiredQoS can be achieved. The FLC-QM has the advantages of generality, scalability,and simplicity. Simulation results show that the FLC-QM can provide WSANs withQoS support.
机译:无线传感器/执行器网络(WSAN)作为新一代的传感器网络正在迅速兴起。尽管对无线传感器网络(WSN)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。特别是,WSAN中的服务质量(QoS)管理仍然是一个有待研究的重要问题。为此,本文针对资源受限,动态且不可预测的WSAN,提出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,该方案处理了流量变化对WSAN QoS的不可预测的影响。它在每个源传感器节点内部使用模糊逻辑控制器,以使采样周期适应截止期限未命中率,并与从传感器到执行器的数据传输相关联。将截止期限丢失率保持在预定的期望水平,以便可以实现所需的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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