Deep Learning and Its Applications for Vehicle Networks

4 Deep learning for UAV network optimization

Jian Wang

University of Tennessee at Martin, Martin, Tennessee

Yongxin Liu

Auburn University at Montgomery, Montgomery, Alabama

Shuteng Niu

Bowling Green State University, Bowling Green, Ohio

Houbing Song

Security and Optimization for Networked Globe Laboratory (SONG Lab), Embry-Riddle Aeronautical University, Daytona Beach, Florida

DOI: 10.1201/9781003190691-6

Contents

1. 4.1 Introduction
2. 4.2 Key categories for UAV networking throughput enhancement
3. 4.3 Routing enhancement for UAV networking throughput
   • 4.3.1 Position-based routing
     • 4.3.1.1 Single path-based
     • 4.3.1.2 Multiple path-based
   • 4.3.2 Topology-based routing
     • 4.3.2.1 Proactive
     • 4.3.2.2 Reactive
     • 4.3.2.3 Hybrid
   • 4.3.3 Swarm-based routing
   • 4.3.4 DL-enabled ...