MMIR: a microscopic mechanism for street selection based on intersection records in urban VANET routing

Zhen Cai,Mangui Liang,Qiushi Sun

doi:10.1186/s13638-019-1475-4

Abstract

In urban vehicular ad hoc networks (VANETs), the intersection-based routing scheme has represented its greater applicability and better efficiency to adapt to high and constrained mobility. How to make an accurate decision for street selection is a challenging issue due to the rapid topology changes in VANETs. In this paper, we propose a microscopic mechanism based on intersection records (MMIR) in which the intersection vehicle nodes maintain and update a records table with every passing vehicle’s individual information. By analyzing and processing these entries, we evaluate these vehicles’ current positions so as to compute the connectivity probability or estimated delivery delay for all candidate streets to support street selection. In contrast to the statistical and macroscopic information for the common condition, we firstly make use of the individual and microscopic data to enhance the accuracy of estimated results. Furthermore, according to the quantity and the running interval, we classify vehicles into two categories: individual and queue vehicles, in order to effectively decrease the complexity of position estimation. Lastly, since there are no dedicated control packets generated in MMIR, the network overhead is low. The simulation results show that the proposed MMIR outperforms existing approaches of street selection in terms of the accuracy of computed connectivity probability and estimated delay.

Highlights

With the advance in wireless network technology in recent years, each vehicle running in the urban streets can exchange data with the nearby vehicles through vehicle-to-vehicle (V2V) communications [1, 2] or with the roadside units (RSU) via vehicle-to-infrastructure communications (V2I) [3]
We propose a microscopic mechanism based on intersection records (MMIR) in which the intersection vehicle nodes maintain and update a records table with every passing vehicle’s information
In an intuitive simulation test about street selection for routing, the estimated delivery delay in MMIR is evaluated and compared with two classical methods based on traffic statistics and greedy traffic-aware routing (GyTAR), respectively

Summary

Introduction

With the advance in wireless network technology in recent years, each vehicle running in the urban streets can exchange data with the nearby vehicles through vehicle-to-vehicle (V2V) communications [1, 2] or with the roadside units (RSU) via vehicle-to-infrastructure communications (V2I) [3]. Apart from the above macroscopic models which adopted static data and traffic statistics, some other studies focused on applying the real-time control information exchanged with neighboring vehicles to estimate network connectivity or delivery delay in the street.

Results

Conclusion