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Distributed Collaborative Processing under Communication Delay over Wireless Sensor and Actuator Networks

机译:无线传感器和执行器网络在通信延迟下的分布式协同处理

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In wireless sensor and actuator networks (WSANs), the sensor nodes are involved in gathering information about the physical phenomenon, while the actuator nodes take decisions and then perform appropriate actions upon the environment. The collaborative operation of sensor and actuator nodes brings significant advantages over WSNs, including improved accuracy and timely actions upon the sensed phenomena. However, unreliable wireless communication and finding a proper control strategy cause challenges in designing such network control system. In order to accomplish effective sensing and acting tasks, efficient coordination mechanisms among different nodes are required. In this paper, the coordination and communication problems in WSANs are studied. First, we formulate the mathematical models for the WSANs system. Then, a predictor-controller algorithm based on distributed estimation is adopted to mitigate the effects of network-induced delay. Finally, we apply a collaborative processing mechanism to meet the desired system requirements and improve the overall control performance. This approach will group the sensor and actuator nodes to work in parallel so as to reduce the computation complexity and enhance the system reacting time. Simulation results demonstrate the effectiveness of our proposed method.
机译:在无线传感器和执行器网络(WSAN)中,传感器节点参与收集有关物理现象的信息,而执行器节点则进行决策,然后对环境执行适当的操作。传感器和执行器节点的协同操作带来了超过WSN的显着优势,包括提高的准确性和对感知到的现象及时采取的措施。然而,不可靠的无线通信和找到合适的控制策略在设计这样的网络控制系统方面带来了挑战。为了完成有效的感测和作用任务,需要不同节点之间的有效协调机制。本文研究了WSAN中的协调和通信问题。首先,我们为WSAN系统建立数学模型。然后,采用基于分布式估计的预测器-控制器算法来减轻网络引起的延迟的影响。最后,我们应用协作处理机制来满足所需的系统要求并改善总体控制性能。这种方法将传感器和执行器节点分组以并行工作,从而降低了计算复杂性并增加了系统响应时间。仿真结果证明了该方法的有效性。

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