3 research outputs found
dSDiVN: a distributed Software-Defined Networking architecture for Infrastructure-less Vehicular Networks
In the last few years, the emerging network architecture paradigm of
Software-Defined Networking (SDN), has become one of the most important
technology to manage large scale networks such as Vehicular Ad-hoc Networks
(VANETs). Recently, several works have shown interest in the use of SDN
paradigm in VANETs. SDN brings flexibility, scalability and management facility
to current VANETs. However, almost all of proposed Software-Defined VANET
(SDVN) architectures are infrastructure-based. This paper will focus on how to
enable SDN in infrastructure-less vehicular environments. For this aim, we
propose a novel distributed SDN-based architecture for uncovered
infrastructure-less vehicular scenarios. It is a scalable cluster-based
architecture with distributed mobile controllers and a reliable fall back
recovery mechanism based on self-organized clustering and failure anticipation.Comment: 12 pages, 5 figures, accepted in I4CS201
DESIGN OF EFFICIENT IN-NETWORK DATA PROCESSING AND DISSEMINATION FOR VANETS
By providing vehicle-to-vehicle and vehicle-to-infrastructure wireless communications, vehicular ad hoc networks (VANETs), also known as the “networks on wheels”, can greatly enhance traffic safety, traffic efficiency and driving experience for intelligent transportation system (ITS). However, the unique features of VANETs, such as high mobility and uneven distribution of vehicular nodes, impose critical challenges of high efficiency and reliability for the implementation of VANETs. This dissertation is motivated by the great application potentials of VANETs in the design of efficient in-network data processing and dissemination. Considering the significance of message aggregation, data dissemination and data collection, this dissertation research targets at enhancing the traffic safety and traffic efficiency, as well as developing novel commercial applications, based on VANETs, following four aspects: 1) accurate and efficient message aggregation to detect on-road safety relevant events, 2) reliable data dissemination to reliably notify remote vehicles, 3) efficient and reliable spatial data collection from vehicular sensors, and 4) novel promising applications to exploit the commercial potentials of VANETs.
Specifically, to enable cooperative detection of safety relevant events on the roads, the structure-less message aggregation (SLMA) scheme is proposed to improve communication efficiency and message accuracy. The scheme of relative position based message dissemination (RPB-MD) is proposed to reliably and efficiently disseminate messages to all intended vehicles in the zone-of-relevance in varying traffic density. Due to numerous vehicular sensor data available based on VANETs, the scheme of compressive sampling based data collection (CS-DC) is proposed to efficiently collect the spatial relevance data in a large scale, especially in the dense traffic. In addition, with novel and efficient solutions proposed for the application specific issues of data dissemination and data collection, several appealing value-added applications for VANETs are developed to exploit the commercial potentials of VANETs, namely general purpose automatic survey (GPAS), VANET-based ambient ad dissemination (VAAD) and VANET based vehicle performance monitoring and analysis (VehicleView).
Thus, by improving the efficiency and reliability in in-network data processing and dissemination, including message aggregation, data dissemination and data collection, together with the development of novel promising applications, this dissertation will help push VANETs further to the stage of massive deployment