AWPSO-SAA: A Time Slot Allocation Algorithm for Adaptive Weighted Particle Swarm Optimization
Authors: 
Hai Gong, Xiang JiAuthors Info & Claims
Hai Gong, Xiang JiAuthors Info & ClaimsPages 324 - 332
Abstract
Excellent time slot allocation algorithms can quickly, reasonably and accurately allocate time slot resources according to node service time slot requirements to meet the real-time transmission of tactical information in data chains and ensure with reliable time delay jitter. In order to solve the problems of uneven allocation of time slot resources and failure to meet real-time information transmission in tactical data chains. In this paper, based on the study of time slot allocation techniques for Link 16 chains, an adaptive weight mechanism is introduced into the PSO algorithm, thus proposing a new time slot allocation algorithm with adaptive weight particle swarm optimization (AWPSO-SAA). The experimental results show that the algorithm can find the optimal time slot allocation scheme quickly and accurately, and can significantly reduce the time delay jitter. It is well suited for single and multi-node time slot resource allocation and is consistent with the real-time transmission of tactical operational messages in data chains.
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Index Terms
- AWPSO-SAA: A Time Slot Allocation Algorithm for Adaptive Weighted Particle Swarm Optimization
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Published In
July 2023
383 pages
ISBN:9798400707575
DOI:10.1145/3614008
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Association for Computing Machinery
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Publication History
Published: 17 October 2023
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SPML 2023
SPML 2023: 2023 6th International Conference on Signal Processing and Machine Learning
July 14 - 16, 2023
Tianjin, China
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