Title: Capacity optimisation of communication networks in integrated equipment systems based on the functional chain mechanism

Authors: Yonggang Li; Dan Wen; Cheng Huang; Haoran Li; Peide Fu; Ang Gao

Addresses: School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China ' School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China ' School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China ' School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China ' School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China ' School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China

Abstract: For the sake of settling the communication congestion in the integrated equipment system and optimising the network capacity, the complex network analysis method of the structure of the equipment system based on the function division mechanism based on the function chain is adopted, and functional chain modelling is carried out. In view of the fact that the node betweenness determines the ability of the network to process data in some measure, an improved routing algorithm based on both the node betweenness and the link load under the constraint of the functional chain is proposed. By assigning weights to the corresponding nodes and links, and increasing the outbound edge weights of multiple high-intermediate nodes simultaneously, the packets bypass the nodes and links with high loads. Experimental results indicate that the proposed algorithm outperforms the traditional algorithm in terms of convergence and optimisation effect.

Keywords: equipment system; complex network; communication congestion; transmission capacity; routing algorithm.

DOI: 10.1504/IJSCC.2024.143859

International Journal of Systems, Control and Communications, 2024 Vol.15 No.4, pp.367 - 386

Received: 01 Mar 2024
Accepted: 14 Sep 2024
Published online: 10 Jan 2025 *

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