Open AccessA Routing Protocol Based on CP Neural Network for Vehicular Ad Hoc Networks
Author(s) -
Wang Wen
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1626/1/012019
Subject(s) - computer network , computer science , vehicular ad hoc network , wireless ad hoc network , routing protocol , optimized link state routing protocol , packet forwarding , wireless routing protocol , network packet , zone routing protocol , distributed computing , telecommunications , wireless
It is important to design efficient routing protocols based on link connectivity and the selection of optimal link forwarding data in vehicular ad hoc networks (VANET). We propose A routing protocol based on counter propagation (CP) neural network for Vehicular Ad Hoc Networks (CP-GPSR), which is to take into account the connectivity probability of the link, adopts a routing method based on data packets forwarded at intersections. The priority of the next segment is classified by the CP neural network, vehicle select the next segment of highest priority for data forwarding at the intersection. The simulation results show that CP-GPSR has a high packet delivery rate, the control overhead is lower.