GeoVanet: A Routing Protocol for Query Processing in Vehicular Networks

Author:

Delot Thierry1,Mitton Nathalie2,Ilarri Sergio3,Hien Thomas1

Affiliation:

1. University Lille North of France, LAMIH FRE CNRS, Valenciennes, France

2. INRIA Lille-Nord Europe, Villeneuve, France

3. IIS Department, University of Zaragoza, Zaragoza, Spain

Abstract

In a vehicular ad hoc network (VANET), cars can exchange information by using short-range wireless communications. Along with the opportunities offered by vehicular networks, a number of challenges also arise. In particular, most works so far have focused on a push model, where potentially useful data are pushed towards vehicles. The use of pull models, that would allow users to send queries to a set of cars in order to find the desired information, has not been studied in depth. The main challenge for pull models is the difficulty to route the different results towards the query originator in a highly dynamic network where the nodes move very quickly. To solve this issue, we propose GeoVanet, an anonymous and non-intrusive geographic routing protocol which ensures that the sender of a query can get a consistent answer. Our goal is to ensure that the user will be able to retrieve the query results within a bounded time. To prove the effectiveness of GeoVanet, an extensive experimental evaluation has been performed, that proves the interest of the proposal for both rural and urban areas. It shows that up to 80% of the available query results are delivered to the user.

Funder

French ANR agency in the scope of the OPTIMACS project

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Computer Science Applications

Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Privacy-aware query processing in vehicular ad-hoc networks;Ad Hoc Networks;2019-08

2. Spatial crowdsourcing with mobile agents in vehicular networks;Vehicular Communications;2019-06

3. CASQ: Adaptive and cloud-assisted query processing in vehicular sensor networks;Future Generation Computer Systems;2019-05

4. Efficient data request answering in vehicular Ad-hoc networks based on fog nodes and filters;Future Generation Computer Systems;2019-04

5. Request Answering in Vehicular Ad-Hoc Networks Based on Adaptive Filters;2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI);2018-10

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