Collaborative Data Offloading for Earth Observation Satellite Networks

Authors:
Publisher website
Google Scholar
Abstract
We study the collaborative data offloading problem for earth observation satellite networks (EOSNs) that allows light-loaded satellites to assist heavily-loaded ones to offload earth observation data. First, we propose a task flow graph (TFG) to depict the collaborative data offloading procedure. Based on the proposed TFG, we formulate the studied problem as integer linear programming (ILP) to maximize the weighted sum of successfully offloaded tasks. Then, we leverage the underlying structure of ILP to propose a fast yet efficient algorithm. Finally, our simulation results demonstrate that collaborative data offloading can significantly improve the performance of the EOSNs.
Funding Information
  • Basic Research Programs of Taicang (TC2021JC25, TC2020JC07)
  • China Postdoctoral Science Foundation (2021M702677)
  • Natural Science Basic Research Program of Shaanxi Province (2021JQ126)
  • National Natural Science Foundation of China (62101455, 61901388)

This publication has 6 references indexed in Scilit: