Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: information management in vehicular ad hoc networks : a review .
a tutorial survey on vehicular ad hoc networks .
Dynamic consensus for secured vehicular ad hoc networks
A Model Based Connectivity and Localization Strategy for Vehicular Ad Hoc Networks
An efficient message access quality model in vehicular communication networks
Vehicular Ad hoc Network (VANETs): A Review
Vehicular Ad-Hoc Networks (VANETs) - An Overview and Challenges
Vehicular Networking: A Survey and Tutorial on Requirements, Architectures, Challenges, Standards and Solutions
Routing protocols in Vehicular Delay Tolerant Networks: A comprehensive survey
Analysis of multi-hop emergency message propagation in vehicular ad hoc networks
From Theory to Experimental Evaluation: Resource Management in Software-Defined Vehicular Networks
In-Vehicle Networks Outlook: Achievements and Challenges
Vehicular Ad Hoc Networks (VANETs): Challenges and Perspectives
Thoughts on Vehicular Ad Hoc Networks ( VANETs ) in the Real World Traffic Scenarios
Trust On the Security of Wireless Vehicular Ad-hoc Networking
Heterogeneous vehicular communications: A comprehensive study
lte for vehicular networking : a survey .
Adaptive Multimedia Data Forwarding for Privacy Preservation in Vehicular Ad-Hoc Networks
Adaptive Traffic Signal Control With Vehicular Ad hoc Networks
A framework for evaluating pseudonym strategies in vehicular ad-hoc networks
Vehicular ad hoc networks (VANETs): Current state, challenges, potentials and way forward
Securing Vehicular Ad Hoc Networks
The right-handed slanting of Arabidopsis thaliana roots is due to the combined effects of positive gravitropism, circumnutation and thigmotropism.
Preliminary comparison of techniques for dealing with imbalance in software defect prediction
Delineation the anatomy of posterior tibial artery perforator flaps using human cadavers with a modified technique
Interacting with Predictions: Visual Inspection of Black-box Machine Learning Models