RESEARCH PROPOSAL
ENHANCING QUALITY OF SERVICE FOR AUTONOMOUS
VEHICLES THROUGH INTEGRATING SDN OVER NDN TO
OPTIMIZE VNDN ARCHITECTURE
SND OVER NDN ARCHITECTURE
INTRODUCTION
Software-defined networking (SDN) and named-data networking (NDN)
are two emerging networking technologies that have the potential to
revolutionize the way networks are designed and operated.
SDN decouples the control and data planes of a network, giving network
operators more flexibility and control over their networks.
NDN is a content-centric networking architecture that focuses on the
delivery of data rather than location.
Integrating the SDN over NDN architecture gives us benefits of both SDN
and NDN.
It
offers
a
number
of
advantages
over
traditional
networking
architectures, including:
1. Increased flexibility and control: SDN gives network operators more
flexibility and control over their networks, while NDN allows them to
optimize the delivery of specific types of content.
2. Improved performance and reliability: SDN and NDN can work together
to improve the performance and reliability of networks by reducing
latency and improving packet forwarding efficiency.
3. Increased security: SDN and NDN can work together to improve the
security of networks by making it more difficult for attackers to disrupt or
compromise networks.
NETWORK SLICING
Network slicing is a key technology that can be used to optimize VNDNs.
Network slicing allows network operators to create multiple virtual
networks on top of a shared physical infrastructure.
Each network slice can be customized to the specific needs of a particular
application or service.
Network slicing can be used to optimize VNDNs in a number of ways.
For example, network slicing can be used to:
1. Prioritize traffic for critical applications, such as autonomous driving
applications.
2. Isolate traffic for different types of applications to improve security and
performance.
3. Provide different levels of service quality (QoS) for different types of
applications.
EXAMPLE
Examples of how SDN over NDN and network slicing can be used to optimize
VNDNs:
Autonomous driving:
SDN over NDN can be used to create a dedicated network slice for
autonomous driving applications.
This network slice can be optimized to provide the high bandwidth and
low latency that autonomous driving applications require.
Infotainment:
SDN over NDN can be used to create a dedicated network slice for
infotainment applications.
This network slice can be optimized to provide the high bandwidth and
low latency that infotainment applications require.
Vehicle-to-vehicle (V2V) communication:
SDN over NDN can be used to create a dedicated network slice for V2V
communication.
This network slice can be optimized to provide the low latency and high
reliability that V2V communication requires.
METHODOLOGY
The following research methodology will follow through this research:
Conduct literature review on 5G network slicing, NDN/VNDN, and QoS for
autonomous and infotainment applications
Identify key performance metrics like latency, reliability, throughput
Develop system model and architecture integrating 5G slicing and NDN/VNDN
Formulate algorithms for slice orchestration and resource optimization
Implement simulation testbed using ns-3, ndnSIM, or other tools
Evaluate the performance of integrated architecture via simulations
Compare results against conventional networking approaches
Analyze how slicing parameters impact QoS metrics
Investigate caching strategies to reduce latency and network load
Examine the benefits of edge computing for low-latency services
Study how to adjust slices based on mobility patterns dynamically
Develop prototype on software-defined radio platform
Conduct field trials with autonomous and infotainment applications
Evaluate real-world performance and validate simulation results
Refine algorithms and system design based on empirical results
Analyze the feasibility and challenges of proposed techniques
REFERENCES
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