Abstract:
Reducing the latency of Networked Control System (NCS) is the demanding and critical task in recent days. Because, the communication in NCS is performed between the actuators, sensors, and controllers. So, different mechanisms are developed in the traditional works for improving the performance of the network with reduced latency. But, it lacks with the limitations of inefficient data transmission, reduced packet delivery rate, and reduced Quality of Service (QoS). To solve these problems, this paper aims to develop a new architecture, namely, Closed Loop Industrial Wireless Sensor and Actuator Network (CLI-WSAN) for improving the overall performance of the network. Here, the data aggregation is performed to increase the overall efficiency of NCS, and the optimal weighting time distribution is performed to reduce the network latency. In this environment, the inter-cluster model is created between the cluster head and sink, and the intra-cluster model is created between the cluster member and cluster head. Based on the data rate and time slot, the internal clusters are formed, then the data aggregation is initiated from the cluster head to the members. Here, the aggregate function is utilized to filter the packets before forwarding it to the other nodes, and the enhanced Markovian Decision Process (MDP) is used to select the relay for a better communication. Consequently, the gathered data are collected and the errors are predicted, based on this the actuator control is forwarded. During simulation, the performance results of the proposed framework is evaluated by using different parameters. Moreover, it is compared with the existing frameworks for proving the efficacy of the CLI-WSAN architecture.
