TY - JOUR
AU - Wang, Xiaohui
AB - ISSN 0146-4116, Automatic Control and Computer Sciences, 2018, Vol. 52, No. 6, pp. 552–560. © Allerton Press, Inc., 2018. A Vehicular Opportunity Routing Protocol with Area Learning: Voal Xiaohui Wang* School of Management Science and Engineering, Shandong University of Finance and Economics, Jinan, 250014 P.R. China *e-mail: gkwxh123@163.com Received February 24, 2018; revised April 18, 2018; accepted May 2, 2018 Abstract—The mobility of nodes in a vehicular ad hoc network brings about the instability of network topology, which is not benef icial for effective and rapid information transmission. This study proposed a vehicular opportunity routing protocol with area learning (VOAL). Specifically, beacon control was adopted for alleviating the information transmission pressure caused by channel congestion. The sta- tistics of network environment and topology distribution were acquired through beacon exchange, and the hot area was derived based on real-time network information for better information transmission. Finally, the simulations were performed using an open-source simulator opportunistic network envi- ronment for comparing VOAL with some classical routing algorithms. The simulation results revealed that VOAL showed enhanced performance. Keywords: area learning, mobile ad hoc network (MANET), vehicular ad hoc network (VANET) DOI: 10.3103/S0146411618060111 1. INTRODUCTION Vehicular ad hoc network (VANET), composed of gradually 
TI - A Vehicular Opportunity Routing Protocol with Area Learning: Voal
JF - Automatic Control and Computer Sciences
DO - 10.3103/S0146411618060111
DA - 2019-01-28
UR - https://www.deepdyve.com/lp/springer-journals/a-vehicular-opportunity-routing-protocol-with-area-learning-voal-Oq5uGrcPdI
SP - 552
EP - 560
VL - 52
IS - 6
DP - DeepDyve
ER -