Abstract
Vehicular ad hoc network (VANET) is a special form of mobile ad hoc network (MANET), which plays a key role in the intelligent transportation system (ITS). Though many outstanding geographic routing protocols are designed for VANETs, a majority of them use parameters that only affect routing performance. In this article, we propose an intersection routing based on fuzzy multi-factor decision (IRFMFD), which utilizes several features. The scheme is divided into two parts, namely vehicular decision management and intersection decision management. In the vehicular component, candidate vehicles between two static nodes (SNs) located at two intersections derive potential routing paths considering distance, neighbor quantity, and relative velocity. In the intersection component, the candidate SN was chosen from the current intersection’s 2-hop neighbors which were connected with the current intersection by a route that was decided on in part one. To get the best scheme, we also introduced other factors to estimate the number of hops in each link and link lifetime. The simulation shows that the IRFMFD outperforms on delivery ratio and end-to-end delay compared with AODV (Ad hoc on-demand distance vector), GPSR (Greedy perimeter stateless routing) and GeOpps (Geographical opportunistic routing).
Highlights
The rapid increase in the number of vehicles and advancements in mobile internet has drawn the attention of experts in academia and industry towards vehicular ad-hoc networks (VANETs)
intersection routing based on fuzzy multi-factor decision (IRFMFD), Greedy perimeter stateless routing (GPSR), In this this section, simulation experiments are to evaluate the performance of the routing protocol
To evaluate and compare the performance of IRFMFD, GPSR, Geographical opportunistic routing (GeOpps), and adhoc hocon-demand on-demanddistance distancevector vector (AODV), the simulations were performed with the same parameters
Summary
The rapid increase in the number of vehicles and advancements in mobile internet has drawn the attention of experts in academia and industry towards vehicular ad-hoc networks (VANETs). VANET is a special kind of mobile ad-hoc networks (MANETs), where vehicles are the main communication participants [1,2]. VANET system communication is in two forms, namely vehicle-to-vehicle (V2V). In contrast to MANETs, VANETs are characterized by high mobility. The network topology of VANETs changes continuously. As a result of vehicular movements, communication link conditions among vehicles vary frequently, influencing intermittent network disconnection. Mobility of vehicles is predictable through GPS indicators, such as obstacles on both sides of the road segment, vehicle position, and speed [3]
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