Abstract
A major factor in the optimization of real-time industrial applications is Quality of Service (QoS). There is also a quality-of-service parameter (QoS). Normally, dynamic networks require QoS settings for real-time applications. The industrial production environment is changing due to rapid advances in ICT. Industries have increased output due to improved manufacturing chain efficiency, flexibility, and security. Establishing a secure, reliable, and fast network in the sector is therefore critical. In industrial applications, data collection is an important factor to consider. Various routing methods exist for collecting data from industrial environments and sending it to processing. In this situation, the energy consumption of device nodes and data transmission delay are important factors to consider. This research proposes to construct an energy-efficient delay-aware WSN routing (EDR) protocol for defect detection. The clustering group optimal approach is used to identify which clusters should be selected. A modified task selection method is proposed to calculate the most efficient path between industrial areas and data centres (monitoring rooms). The node selection approach is used to find the network’s aggregate node. The Network Simulator (NS2) programmed is used to model the projected IEM-EDR system. The proposed Industrial Energy Monitoring-Energy-Efficient Delay-Aware Routing (IEM-EDR) system’s performance is compared to that of existing techniques in hop count, latency, energy consumption, throughput, and delivery rate.
Highlights
Wireless Sensor Networks (WSNs) [1] were first utilized in military purposes, but when more sophisticated technology became available, they began to be used in industrial applications, such as assembly line monitoring and production automation
When comparing the present mobile WSN routing algorithm (MWSN) to the proposed system industrial environment monitoring system (IEM)-efficient delay-aware WSN routing (EDR), it is evident that the existing MWSN has poor performance. e Industrial Energy Monitoring-Energy-Efficient Delay-Aware Routing (IEM-EDR) method, which is comprised of three separate techniques, is suggested in this paper: cluster formation is accomplished by the employment of a group optimum algorithm based on cuckoo search; this reduces the energy consumption of the nodes. e second technique, which makes use of a modified job scheduling algorithm based on the chemical process, is employed for optimum route selection. e third approach is used to pick the aggregated node from a pool of nodes in the network, and it is described below
When compared to the current MWSN protocol, the proposed IEM-EDR protocol has a higher level of accuracy. ere is a 64 percent increase in accuracy in the IEM-EDR procedure
Summary
WSNs [1] were first utilized in military purposes, but when more sophisticated technology became available, they began to be used in industrial applications, such as assembly line monitoring and production automation. When used in industrial applications such as assembly line monitoring and factory automation, Wireless Sensor Networks (WSNs) may help to improve aspects such as efficiency, dependability, and productivity [2, 3]. Input nodes are more susceptible to eavesdropping outbreaks than cable sensor networks. In this situation, the communication nodes are physically linked by wire cables, and a node that is not physically attached is impossible to contact a node that is connected for illicit operations [7]. As long as an eavesdropper remains hidden inside industrial WSNs, lawful
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