Abstract-Vehicular networks can be seen as the new key enablers of the future networked society. Vehicles traveling can act as mobile sensors and collect a variety of information that can be used to enable various new services like environment monitoring, traffic management, urban surveillance, and so on.In this paper we present AVE ("adaptive Anycasting solution for Vehicular Environments"), a message delivery protocol which combines geographical and topological information to dynamically adapt its behavior to network conditions. We focus on V2I connectivity for cloud services, where the vehicles send the sensed information as individual and independent messages to a cloud service in the Internet. This scenario requires the access to any available close-by Road Side Unit (RSU), thus making anycasting the ideal delivery mechanism.Simulations results show that the hybrid and adaptive approach of AVE is able to improve network performance. For example, regarding delivery ratio, AVE outperforms DYMO by 10% in sparse scenarios and outperforms DTN techniques by 10% in dense scenarios.
Abstract-Poor Internet performance currently undermines the efficiency of hyper-responsive mobile apps such as augmented reality clients and online games, which require low-latency access to real-time backend services. While edge-assisted execution, i.e. moving entire services to the edge of an access network, helps eliminate part of the communication overhead involved, this does not scale to the number of users that share an edge infrastructure. This is due to a mismatch between the scarce availability of resources in access networks and the aggregate demand for computational power from client applications.Instead, this paper proposes a hybrid edge-assisted deployment model in which only part of a service executes on LTE edge servers. We provide insights about the conditions that must hold for such a model to be effective by investigating in simulation different deployment and application scenarios. In particular, we show that using LTE edge servers with modest capabilities, performance can improve significantly as long as at most 50% of client requests are processed at the edge. Moreover, we argue that edge servers should be installed at the core of a mobile network, rather than the mobile base station: the difference in performance is negligible, whereas the latter choice entails high deployment costs. Finally, we verify that, for the proposed model, the impact of user mobility on TCP performance is low.
> REPLACE THIS LINE WITH YOUR PAPER IDENTIFICATION NUMBER (DOUBLE-CLICK HERE TO EDIT) < 1 Abstract-Without realistic vehicle mobility patterns, the evaluation of communication protocols in vehicular networks is compromised. Moreover, in order to ensure repeatability and fairness in vehicular simulations, researchers require simulation tools that allow them to have a complete control of simulations. In this paper we present VACaMobil, a Mobility Manager for the OMNeT++ simulator which offers a way to create complex scenarios with realistic vehicular mobility by allowing to define the desired average number of vehicles, along with its upper and lower bounds, which are maintained throughout the simulation. We compare VACaMobil against other commonly used methods which also generate and manage vehicular mobility. Results expose some flaws of those basic tools, and shows that VACaMobil behaves significantly better. The harmful impact on communication protocols when using common tools is also quantified, revealing VACaMobil as a necessity for current research.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.