The development of a rotating detection system in space is proposed to assist in locating typical isotropicaly distributed burst-events. The system is based on several small angular openings (for example, 5 degrees opening each), bundled into a rotating detection system array, using a controlled stepper motor. A transmission device in the system will transmit the detected signals to an analyzing computer. In this work we simulated the response of rotating monitoring systems, using three different monitoring algorithms, in order to compare each system's efficiency according to its monitoring pattern. Burst-events counting on a spherical surface were simulated as a system, with a one or more detectors located on the center of a sphere. The burst-events monitoring was simulated in Monte Carlo calculations in three separate modules, describing several courses for the detectors’ angular translations. The burst-events position was randomly changed at steps analogous to the monitoring period. The scored events resulting from each of the three algorithms were very similar, for 106 steps as well as for 107 steps. Enhancing the results statistics, by a factor of ten increase of the number of burst-events in the simulations, showed that the random monitoring algorithm is a three fold more efficient scoring compare to the other two patterned monitoring algorithms.