Design of Joint Congestion Simulation Experiment Based on Cross-Layer Collaboration in VANETs

Design of Joint Congestion Simulation Experiment Based on Cross-Layer Collaboration in VANETs

Abstract—Aiming at the link-level congestion caused by frequent network topology changes and limited communication resources and the node-level congestion caused by overload of cluster head nodes in VANETs, this paper proposes a Joint Congestion Strategy based on Cross-layer Collaboration in VANETs (JCSCCV). By designing a joint congestion overall architecture for cross-layer collaboration, a multi-criteria double cluster head dynamic clustering strategy based on motion similarity and a multi-path congestion-free routing algorithm based on genetic-ant colony fusion are proposed. The routing problem is transformed into a multi-objective optimization problem. The genetic-ant colony fusion meta-heuristic algorithm is used to solve the construction of multipath congestion-free routing, which avoids network congestion caused by link instability and uneven load distribution. Finally, through the NS3 simulation platform, it is verified that JCSCCV has better performance in V2X applications than CLCC, VC-TCP and NC, TOSCL, NewReno and other algorithms, and has higher application value.

Keywords-Vanets; Cross-Layer Collaboration; Congestion Strategy; Dynamic Clustering; Multipath Congestion-Free Routing