Journal of System Simulation
Abstract
Abstract: To solve the problems of significant communication overhead and limited real-time response capability in the traditional flooding-based state diffusion mechanism, an efficient diffusion algorithm based on regional partitioning and information compression was proposed. A multi-dimensional feature clustering method integrating geographic distance and link quality was used to achieve high-cohesion network partitioning through weighted Euclidean distance and the K-means algorithm; a dynamic selection mechanism for representative nodes was designed to conduct comprehensive scoring by combining the link quality and geographic centrality of nodes, realizing the efficient compression and aggregated transmission of regional information. Simulation results indicate that the algorithm significantly reduces the redundant communication overhead of state information transmission in wireless ad hoc networks and improves diffusion efficiency, providing a reusable algorithm model and performance evaluation framework for the simulation modeling and situation generation of dynamic wireless ad hoc networks.
Recommended Citation
Jia, Mengyao; Gu, Shaozhu; Wang, Junhan; Wang, Denghao; Xu, Du; and Zhang, Xiaoning
(2026)
"Modeling and Simulation of Efficient State Information Diffusion in Wireless Ad Hoc Networks,"
Journal of System Simulation: Vol. 38:
Iss.
7, Article 7.
DOI: 10.16182/j.issn1004731x.joss.25-0773
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol38/iss7/7
First Page
1887
Last Page
1900
CLC
TN929.5; TP391
Recommended Citation
Jia Mengyao, Gu Shaozhu, Wang Junhan, et al. Modeling and Simulation of Efficient State Information Diffusion in Wireless Ad Hoc Networks[J]. Journal of System Simulation, 2026, 38(7): 1887-1900.
DOI
10.16182/j.issn1004731x.joss.25-0773
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