Sensing network topological optimization method in manufacturing internet of things

Abstract

The invention discloses a sensing network topological optimization method in manufacturing internet of things. Combining the characteristics of sensing nodes of massive distribution, limited wireless communication distance and energy limitation, and considering that the large-scale wireless sensing network cannot directly adopt a planar network topology structure, a large-scale distribution node clustered network topology structure with wireless Mesh routers as the cluster head is adopted, two factors, namely load balancing and energy efficiency, need comprehensive considering during clustering, reasonable optimization is performed, the cluster range of each wireless Mesh router is divided, and a minimum energy consumption data forwarding tree with the wireless Mesh routers as the root nodes is built on the premise of guaranteeing that all the wireless Mesh routers have balanced loads.

Description

Technical field [0001] The invention relates to the field of manufacturing the Internet of Things, and more specifically, to a method for optimizing a large-scale sensor network topology with load balancing and energy efficiency in the manufacturing of the Internet of Things. Background technique [0002] Through the configuration of various types of high-performance sensing nodes covering the entire manufacturing process, the manufacturing IoT network is responsible for multiple objects and multi-source data such as "people, materials, equipment, production process, products, and services" in the entire manufacturing process. Perception task. It can be seen that various types of wireless sensing nodes are distributed on a large scale in the manufacturing IoT environment, and how to effectively organize and manage large-scale distributed wireless sensing nodes and construct a high-performance manufacturing IoT network topology is directly related to the performance of the entire ...

AI Technical Summary

Problems solved by technology

Currently on the topology optimization of large-scale wireless sensor networks: "Huang Heqing, Yao Daoyuan, Shen Jie, Ma Kui, Liu Hai. Research on a clustering algorithm for wireless sensor networks based on multi-weight optimization, Journal of Electronics and Information Technology, 2008, 30(6). "This paper proposes a clustering algorithm MWBC (Multi-Weight Based Clustering) based on multi-weight values. In the early stage, more local network information is obtained through information interaction between nodes. Different clustering decisions are made in the network application background, and the maximum size of the cluster is preset to facilitate the resource management and allocation of the access protocol, but this method does not consider enough to save the energy consumption of the sensor network

"Hong Zhen, Yu Li, Zhang Guijun, Chen Yourong. Research on Topology Construction of Wireless Sensor Networks Based on the Minimum Connected Dominant Set, Journal of Electronics and Information Technology, 2012, (8)." This paper will find the optimal virtual backbone in the fully connected network environment The network problem is abstracted into the minimum connected dominating set solution problem (MCDS), and a mathematical model based on mixed integer programming (NMIP-MCDS) is established. This mathematical model has certain considerations for load balancing when the sensor network is clustered, but Lack of consideration for saving energy consumption

[0004] When clustering, if the cluster size is too large, the communication delay will be too high and the wireless Mesh router will be overloaded. If the cluster size is too small, the overall network management cost and communication load will be too high.

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