Abstract
Wireless sensor networks which are based on distributed information processing technology are taking an increasingly key role in industrial digital twin scenarios. There are many important issues in the access of networks. One of the most important issues is how to improve network access control and the effectiveness of load balancing. Based on the industrial digital twin technology, this article first introduces several typical network access and network loads and performs tree-structured processing on the outliers generated during the chain formation process to reduce the length of the data transmission path, optimize the main chain head and subchain chain head selection strategy and chaining rules, and perform nonchain operations on common nodes and chain heads near sink to reduce data inverse transfer. The experimental results show that this paper uses the digital twin calculation formula to accurately and objectively determine the remaining cluster head and the distance head and the base station, so that when the node distance is limited, the network energy consumption can be balanced as much as possible, and the network load is promoted.
Highlights
Wireless sensor networks integrate sensor technology, computing, and communication technology and become an active research branch in the field of computer science
The digital twin protocol can be divided into network access protocol, network load protocol, and geographic digital twin protocol
In the homogeneous node environment, based on the network load algorithm, this paper optimizes the digital twin topology structure, divides the network nodes into two layers, constructs the network nodes into multiple subchains at the bottom layer, and selects the main chain head and the branch chain heads to construct the top-level chain head chain
Summary
Wireless sensor networks integrate sensor technology, computing, and communication technology and become an active research branch in the field of computer science. WSN uses a variety of highly integrated and low-cost micro wireless sensor nodes to collaborate to achieve real-time monitoring and perception in different application environments and collect relevant data or other object data of interest [6], and the embedded system performs preliminary processing on the monitoring data [7], and the network sends these data digital twins to the control center according to the defined transmission protocol. It divides a network with a large range and nodes into multiple smaller clusters according to specified rules, making. In order to improve the success rate of data transmission between clusters, this paper adopts Bayesian link estimation for each cluster head node after each round of cluster formation
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