# A Study of Cislunar-Based Small Satellite Constellations with Sustainable Autonomy
## 6 Discussions
This needs to be done onboard to calculate the possible collision probability and the synergic action needed for the situation or the anomaly that is posed at the instance. It is important to know that the need for comparing the states (150 and 250) is due to observe the variation of the parameter values and their accuracy in that given condition and scenario (mostly for a critically close instance of collision), and to let the autonomy onboard determine the confidence in the solution and immediately iterate these points by checking the right Probability of Collision (Pc), and make critically serious decisions to navigate away from collision. This word \"confidence\" in solution is the main reason to deploy Monte Carlo and make quick decisions. It is not for choosing between the good decision and the bad one. All solutions are good, but the system needs to choose that one solution that inherits the best confidence in the critical situations where decisions need to be quick and instantaneous. Hence, this process had to be put forward as a major criterion for defined decision-making in near-miss collisions in real-time situations. Several criteria were discussed and trialed, but the selected one for this research, which is presented in this paper, is the most prominently suitable for the situation of collision being the matter of concern, which could destroy the satellite and destabilize a constellation in seconds. Hence, robust, quick, and autonomous decision-making onboard will bring the situation under control thoroughly in case of emergency. Figure 8a shows the instance of calculating the probability of collision. It can be seen how at first the variations are intense until they stabilize, when the true state and a solution are addressed and navigated away from the danger with instant 6000 states iterated. On the other side, Figure 8b generatesa histogram that defines the number of nearest misses in meters. Even in this case, it can be observed that the number of misses first starts rigorously high when the congestion happens, then slowly but steadily eases out and the misses reduce to the most minimal. This is the role of autonomy to safely and securely move away from the critical situations and maintain seamless operations. Figure 8c brings about the variations with 10,000 states, and observations were made to see the changes from the probability of collision and the number of missions. Though the behavior of the curves and the histogram may be similar to one with 6000 states, the precision in the probability estimation is widely different. In this case, too, the variations initially are harsh as the congestion and the chance of a collision increase, and then it comes down slowly and stabilizes efficiently. The differences between 6000 and 10,000 states are shown in Tables 3 and 4, respectively. Apart from the Probability of Collision differences as shown, the percentage differences are interesting to note. The negative percentage difference shows the change in probability when collision chances vary below zero but retain the operations with the best probability approximation calculated. Hence, these are actually normal, and the autonomous calculations in real time will be more precise and practical in many different ways. Monte Carlo is one such approach that can be operated accurately with small satellites in constellations autonomously. To help understand the computational process, the simulation adapts a methodology that syncs in two sets of calculations simultaneously propagated at the same time: 1. The theoretical collision simulation instance, where the system generates the Pc based on the initial conditions of the situation provided, and 2. The Monte Carlo simulation of the same set of points with a definitive algorithm. The comparison of these two outcomes is significant, and these sets of simulations gives the differences in Pc. Solar Radiation Pressure (SRP) is the most critical element of destruction in space with many factors associated with it.