A Mobility Prediction and Delay Prediction Routing Protocol for UAV Networks

摘要

The emerging Unmanned Aerial Vehicles (UAV) adhoc networks play more and more important roles in modern military affairs as well as civil fields. However, due to the high mobility of UAVs, there are several challenges in UAV networks such as routing path failure and the packet loss. So conventional routing algorithms can't accommodate this communication environment efficiently. To cope with these issues, in this paper, we proposed an enhanced optimized Link State Routing protocol (OLSR) based on mobility prediction and delay prediction (OLSR_PMD) for UAV networks. More specifically, a mobility prediction model based on Kalman filter algorithm is employed to choose stable neighbor nodes as MultiPoint Relay (MPR) nodes, which can improve stability of the routing protocol. Then, to meet the requirement of UAV networks on delay performance, by taking the queuing delay as a routing metric, a cross-layer queuing delay prediction model is introduced to achieve traffic load balance and reduce the end-to-end delay. The simulation results confirm that OLSR_PMD significantly outperforms the original OLSR protocol and DSDV protocol on delay performance and packet delivery performance in UAV networks.