Resource-constrained self-organized optimization for near-real-time offloading satellite earth observation big data

Forming satellite networks using inter-satellite links among large-scale satellites opens up a potential way of downloading satellite Earth observation big data in near real-time. Nevertheless, the time-varying topologies of satellite networks limit the visible time among satellites and between satellites and ground stations, thus limiting the effective time in which each satellite can receive and send data. This often causes considerable delays in data offloading and downloading for satellites. Besides, limited resources of satellites and sudden arrival of Earth observation data further exacerbate the delays. To cope with these challenges, a novel elf-rganized utonomous ptimization approach, namely is verified by comparing it with those of four baseline algorithms in the context of four different cases. The empirical results demonstrate the superiority of the by shortening response time from hours to minutes.