# A Heterogeneous Multi-Satellite Dynamic Mission Planning Method Based on Metaheuristic Algorithms
## 5 Conclusions  
This paper proposed a method that combined the Discrete PSO algorithm with a dynamic task management framework to optimize user connections in satellite communication systems. The simulation results demonstrated that this method maintained high user satisfaction and system performance in high-demand scenarios. Specifically, the Discrete PSO algorithm exhibited excellent performance in terms of average satisfaction by dynamically adjusting connections to ensure that the average user satisfaction remained above 0.996 at different time points. Additionally, this method excelled in addressing the needs of users with different priorities, thus ensuring that the demands of high-priority users were always met first, while the needs of medium- and low-priority users were reasonably allocated.  
Future research could focus on several key areas to further enhance the efficiency and adaptability of the proposed algorithm. Firstly, extending the method to more complex satellite communication systems, such as Low Earth Orbit (LEO) satellite constellations, would provide an opportunity to address unique challenges posed by large-scale constellations, including frequent handovers, varying visibility conditions, and the high mobility of satellites. This extension could explore optimizing inter-satellite communication and load balancing across multiple orbital planes. Secondly, as user requirements continue to diversify, the proposed approach could be adapted to accommodate emerging applications, such as supporting communication for spacecraft, aerial vehicles, and Internet of Things (IoT) devices with varying quality-of-service (QoS) needs. Finally, integrating machine learning techniques, such as reinforcement learning or predictive modeling, could allow the algorithm to dynamically adapt to real-time changes in user demands and network conditions, thus further improving its scalability and resilience.  
Figure 7: Variation in average user satisfaction and total user demand over time for different priority levels.  
By exploring these avenues, this research has the potential to significantly expand its applicability across various satellite constellations and evolving communication scenarios. Such developments would not only refine the proposed algorithm but also contribute to the broader advancement of adaptive resource management solutions in next-generation satellite communication systems.  
Conceptualization, L.Z.; methodology, P.Q. and H.L.; software, L.Z.; validation, Y.Z. and Y.C.; formal analysis, P.Q.; investigation, H.L.; resources, P.Q.; data curation, L.Z.; writing--original draft preparation, L.Z.; writing--review and editing, L.Z.; visualization, P.Q.; supervision, Y.Z.; project administration, Y.C. All authors have read and agreed to the published version of the manuscript.  
This research was funded by the pre-research project on Civil Aerospace Technologies, grant number D030102.  
Not applicable.  
The data used to support the findings of this study are included in the article.  
The authors declare no conflicts of interest.