Vehicle-Mounted Self-Organizing Network Routing Algorithm Based on Deep Reinforcement Learning

Algorithm 1

Algorithm implementation steps.

Select multi-hop routing for vehicle network based on deep reinforcement learning

Suppose the source node is, the target node is, there are N nodes between the source node and the target node, and is the node set.

 Step 1: According to formulas (1.1) and (1.2), calculate all possible multi-hop routes from the source node to the destination node to form a candidate multi-hop route set .

 Step 2:Calculate the comprehensive utility value of all candidate multi-hop routes in according to formula (1.5).

 Step 3:The comprehensive utility value is used as a reward, and according to formulas (1.6)-(1.12), deep reinforcement learning is used to adaptively select the best multi-hop route.