PP-RCR: A Position-Probability-Resource Cooperative Routing Algorithm for Air-to-Ground Integrated Mobile Ad Hoc Networks in Emergency Rescue Scenarios

In emergency rescue scenarios, air-to-ground (A2G) integrated mobile ad hoc networks (MANETs) face challenges such as dynamic topology, limited resources, and unstable communication opportunities. To address these issues, we propose a position-probability-resource cooperative routing (PP-RCR) algorithm. First, Kalman filtering is applied to predict the future positions of nodes and accurately identify effective communication opportunities, which can mitigate link disruptions caused by topology dynamics. Then, a multi-dimensional relay selection criterion is designed by considering the transmission reliability, node resources, and message attributes, enabling adaptive relay selection among heterogeneous nodes.…

• ZP
  Zhejiang Provincial Postdoctoral Science Foundation

  Award: ZJ2025210
• NN
  National Natural Science Foundation of China

  Awards: 62503196, 62271399, 62401230