An Ensemble of Heuristic Adaptive Contract Net Protocol for Efficient Dynamic Data Relay Satellite Scheduling Problem

Task scheduling in data relay satellite networks (DRSNs) is subject to dynamic disruptions such as resource failures, sudden surges in task demands, and variations in service duration requirements. These disturbances may degrade the performance of pre-established scheduling plans. To improve adaptab...

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Vydané v:	Aerospace Ročník 12; číslo 8; s. 749
Hlavní autori:	Liu, Manyi, Wu, Guohua, Gu, Yi, Luo, Qizhang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.08.2025
Predmet:	adaptive Algorithms Communication contract net protocol Data transmission dynamic data relay satellite scheduling Ground stations Heuristic Integer programming Planning Power supply Relay satellites Remote sensing Robustness Satellite networks Satellites Scheduling Sensitivity analysis Surges Systems stability Task scheduling
ISSN:	2226-4310, 2226-4310
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Abstract	Task scheduling in data relay satellite networks (DRSNs) is subject to dynamic disruptions such as resource failures, sudden surges in task demands, and variations in service duration requirements. These disturbances may degrade the performance of pre-established scheduling plans. To improve adaptability and robustness under such uncertainties, this paper presents a dynamic scheduling model for DRSN that integrates comprehensive task constraints and link connectivity requirements. The model aims to maximize overall task utility while minimizing deviations from the original schedule. To efficiently solve this problem, an ensemble heuristic adaptive contract net protocol (EH-ACNP) is developed, which supports dynamic scheduling strategy adaptation and efficient rescheduling through iterative negotiations. Extensive simulation results show that, in scenarios with sudden task surges, the proposed method achieves a 3.1% improvement in yield compared to the state-of-the-art dynamic scheduling algorithm HMCNP, and it also outperforms HMCNP in scenarios involving resource interruptions. Sensitivity analysis further indicates that the algorithm maintains strong robustness when the disposal rate parameter exceeds 0.2. These results highlight the practical potential of the EH-ACNP for dynamic scheduling in complex and uncertain DRSN environments.
AbstractList	Task scheduling in data relay satellite networks (DRSNs) is subject to dynamic disruptions such as resource failures, sudden surges in task demands, and variations in service duration requirements. These disturbances may degrade the performance of pre-established scheduling plans. To improve adaptability and robustness under such uncertainties, this paper presents a dynamic scheduling model for DRSN that integrates comprehensive task constraints and link connectivity requirements. The model aims to maximize overall task utility while minimizing deviations from the original schedule. To efficiently solve this problem, an ensemble heuristic adaptive contract net protocol (EH-ACNP) is developed, which supports dynamic scheduling strategy adaptation and efficient rescheduling through iterative negotiations. Extensive simulation results show that, in scenarios with sudden task surges, the proposed method achieves a 3.1% improvement in yield compared to the state-of-the-art dynamic scheduling algorithm HMCNP, and it also outperforms HMCNP in scenarios involving resource interruptions. Sensitivity analysis further indicates that the algorithm maintains strong robustness when the disposal rate parameter exceeds 0.2. These results highlight the practical potential of the EH-ACNP for dynamic scheduling in complex and uncertain DRSN environments.
Audience	Academic
Author	Wu, Guohua Luo, Qizhang Liu, Manyi Gu, Yi
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SubjectTerms	adaptive Algorithms Communication contract net protocol Data transmission dynamic data relay satellite scheduling Ground stations Heuristic Integer programming Planning Power supply Relay satellites Remote sensing Robustness Satellite networks Satellites Scheduling Sensitivity analysis Surges Systems stability Task scheduling
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Title	An Ensemble of Heuristic Adaptive Contract Net Protocol for Efficient Dynamic Data Relay Satellite Scheduling Problem
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