Energy Efficiency Optimization for Communication of Air-Based Information Network with Guaranteed Timing Constraints

In air-based information network of the Space-Air-Ground Integrated Network, it is critical to select an efficient communication link for each communication. However, some communication may not have fixed rules. In this article, we build a model of the air-based information network, and use the dynamic programming to select the most efficient communication link by minimizing the energy consumption in the communication model. In the communication model, energy consumption is associated with the distance between aircrafts and the relative velocity of the aircrafts. There is a given example used to describe the communication subnetworks of aircrafts in the air-based information network, and how each subnetwork containing multiple aircrafts communicates efficiently with the optimization by using the presented algorithms. The experiments show that the presented algorithms can effectively reduce the total cost while satisfying timing constraints with guaranteed confidence probabilities. For example, there has been an achievement that an average reduction of 9.9 % per 20 time units in the 100-subnetwork model satisfying timing constraints based on the presented algorithm.