Multi-Concurrent Entropy Balanced Routing Strategy for Giant Constellation under Weak Global Information
In order to ensure the efficient acquisition of the giant constellation information by the ground system,considering the constraints of the actual satellite perception ability,a multi-channel concurrent entropy balanced routing strategy for the giant constellation under weak global information is proposed.Firstly,the cluster is constructed according to the constellation operation mode,and the"satellite-satellite/satellite-ground"data transmission model under weak global information is established considering the sensing ability of the cluster.Secondly,considering the factors such as network structure,data traffic distribution and information multi-point frequency,the existing algorithm is improved.The entropy is introduced as a quantitative index to evaluate the uniformity of node load distribution,and the penalty factor is introduced to dynamically adjust the path cost.The rolling window method is used to plan the ground transmission path in the case of multi-channel concurrency of the giant constellation.Finally,taking the satellites deployed in the first phase of the Starlink as an example,numerical simulation is carried out to verify the effectiveness of the proposed method.
Giant constellationWeak global informationData acquisitionMultipathEntropy equilibriumLEO satellite