Xia Feng, Zhao Wenhong, Sun Youxian, Tian Yu-Chu
Faculty of Information Technology, Queensland University of Technology, Brisbane QLD 4001, Australia.
Precision Engineering Laboratory, Zhejiang University of Technology, Hangzhou 310014, China.
Sensors (Basel). 2007 Dec 6;7(12):3179-3191. doi: 10.3390/s7123179.
Wireless sensor/actuator networks (WSANs) are emerging rapidly as a newgeneration 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. Inparticular, quality-of-service (QoS) management in WSANs remains an important issue yetto be investigated. As an attempt in this direction, this paper develops a fuzzy logic controlbased QoS management (FLC-QM) scheme for WSANs with constrained resources and indynamic and unpredictable environments. Taking advantage of the feedback controltechnology, this scheme deals with the impact of unpredictable changes in traffic load on theQoS of WSANs. It utilizes a fuzzy logic controller inside each source sensor node to adaptsampling period to the deadline miss ratio associated with data transmission from the sensorto the actuator. The deadline miss ratio is maintained at a pre-determined desired level sothat 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 WSANswith QoS support.
无线传感器/执行器网络（WSANs）作为新一代传感器网络正在迅速兴起。尽管对无线传感器网络（WSNs）进行了大量研究，但在公开文献中，WSANs领域的相关工作却很少。特别是，WSANs中的服务质量（QoS）管理仍然是一个有待研究的重要问题。作为朝着这个方向的一次尝试，本文针对资源受限且环境动态不可预测的WSANs，开发了一种基于模糊逻辑控制的QoS管理（FLC-QM）方案。该方案利用反馈控制技术，应对流量负载不可预测的变化对WSANs的QoS产生的影响。它在每个源传感器节点内部使用模糊逻辑控制器，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错过率。截止期错过率被维持在预先确定的期望水平，以便能够实现所需的QoS。FLC-QM具有通用性、可扩展性和简单性等优点。仿真结果表明，FLC-QM能够为WSANs提供QoS支持。
