Advanced greedy hybrid bio-inspired based shortest path routing algorithm for SDN controller over VANET: Issues and challenges

¹ College of Engineering, Department of Software engineering, Salahaddin university, Erbil, Iraq
^2,3 College of Engineering, Department of Computer Engineering, Knowledge University, Erbil, Iraq

^* Corresponding author: alaa.sabr89@gmail.com

Abstract

VANET is used for contact between vehicles. There are two ways to do this: communication within the car and communication across stations. It has the links consistency protocol, which is utilized for node communications but isn’t good at handling dynamic functions; source routing is pretty static, so it can’t be optimized with proactive hop-by-hop communication; route selection isn’t done well, and there are times when processing takes too long; this is why the suggested idea of a bio-inspiring algorithm is utilized to fix problems with the current algorithm. In the VANET setting, it is used to cut down on data loss and delay. A new protocol called Bioinspired Routing Protocol finds the best router as well as base station to connect the service requester to the global server. This paper suggests an Advanced Greedy Hybrid Bio-Inspired (AGHBI) routing protocol via a greedy forwarding system to make IoV work better. It uses a modified hybrid routing scheme and bee colony enhancement to choose the best quality of service route as well as keep the path with the least quantity of overflow. The simulations show that the suggested protocol works well in both vehicle-to-vehicle (V2V) as well as vehicle-to-infrastructure (V2I) settings. It also has a big effect on lowering the delay and increasing the number of delivered packets while keeping the overhead and hop count at a reasonable level for all vehicles. SDN, or software-defined networking, is utilized to keep the networking structures stable in VANET sources.