Calculation unloading method and system for Internet-of-Things simulation load in ultra-dense low-orbit constellation

Abstract

The invention discloses a calculation unloading method and system for an Internet-of-Things simulation load in an ultra-dense low-orbit constellation. The method comprises the following steps: S1, constructing the Internet of Things into an average field model; S2, obtaining an average field load factor of the simulated load at the moment t; S3, acquiring the calculated unloading overhead of the simulated load at the moment t; S4, constructing a first differential equation; solving the minimum value p*(t) of the emission power and the transmission power of the simulation load at the t moment by using a first differential equation; if t>=T, ending, and if t<T, entering S5; and S5, constructing a second differential equation, substituting p*(t) into the second differential equation to obtain the channel gain of unloading transmission, the calculation task load needing to be unloaded and the average field model value at the moment of t+1 of the simulated load, making t=t+1, and returning to execute S2, S3 and S4. The simulation load dynamically adjusts an unloading decision according to evolution of a channel, a data state and an average field load factor, the overhead of the load in application constraint time is minimized, and the problem of computing resource shortage is effectively relieved.

Description

technical field [0001] The invention relates to the technical field of computing offloading, in particular to a computing offloading method and system for simulated loads of the Internet of Things in an ultra-dense low-orbit constellation. Background technique [0002] In recent years, with the rapid development of commercial aerospace, there has been an upsurge in the construction of satellite Internet all over the world, and major aerospace companies at home and abroad have launched their own satellite Internet plans. my country has also incorporated satellite Internet into the category of communication network infrastructure. In these constellation plans, the planned satellites range from a few hundred to tens of thousands. Such a large-scale satellite system construction is bound to form an ultra-dense satellite system. In addition, with the development of the space-space-ground integrated network, the data processing capability of satellite loads has also been signific...

AI Technical Summary

Problems solved by technology

The current offloading strategies mainly include partial offloading, binary offloading and random offloading, and most of these computing offloading schemes are obtained by solving centralized optimization problems. This method is feasible for a few simulated loads. However, centralized optimization needs to obtain global network information at the cost of a large amount of signaling overhead in ultra-dense networks, which is difficult to achieve for ultra-dense constellation networks

In addition, satellites in low-orbit constellations have super-high moving speeds, and conventional static optimization solutions are no longer applicable, but should dynamically adjust their unloading strategies

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