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In simple words, Named Data Networking (NDN) is recently introduced architecture as a substitution for existing host-based IP networks to deliver the contents by IP and data packets. In the existing method, the packets are distributed over the network based on the IP address. On the contrary, the NDN method follows “data-name” in every packet for easy data identification and distribution. On using packet names, the router makes decisions over packet forwarding. It is easy for routers to cache packets and enhance network bandwidth. In this way, it substitutes the host-intensive IP networks with data-intensive networks. Overall, NDN enables data dissemination with its caching content. 

This page provides an opportunity for active scholars to know the developments of named data networking for software-defined vehicular networks from research perspectives!!!

Both Software-defined Network (SDN) and NDN are common in altering inherited networking architectures. On the one hand, NDN uses data-name instead of IP address for better and fast internet architecture. On the other hand, OMNET++ SDN detaches the control plane from the data plane for service management in the absence of physical interference. One more common factor of NDN and SDN is transmission over different interfaces. And, currently, both technologies are widely developing in vehicular networks. Our technical legends are intelligent in designing and developing innovations in NDN-SDN for enhancing vehicular network performance. Here, we have given our upgraded technical skills in NDN-SDN for VN.

Our Skills and Knowledge in NDN

  • Knowledge on handling SDN-based VANET Technology
  • Skills to design SDVN architecture and component view
  • Acquaintances in access technologies and architectural modes 
  • Skills to design protocols and advance techniques
  • Familiarity to work with real-time use-cases and case-study
  • Knowledge to handle traffic management 
  • Capability to develop measures against futuristic challenges 
NDN For Software Defined Vehicular Networks

Overview of Software Defined Vehicular Networks

To ease the vehicular networks programmability, SDN based vehicular network was introduced. It specifically handles key parameters such as safety, heterogeneity, trustworthiness, routing, flexibility, etc. 

Likewise, Named Data Network aims to use data name in the place of IP address to ease the data identification, requesting, forwarding, and retrieving. For this purpose, it created a new architecture that works based on any information / content-centric network. And, NDN is capable to collaborate with both vehicular networks and software-defined networks. Below, we have given some key taxonomies of software-defined vehicular networks that every scholar should be aware of before undergoing deep research on NDN.

Classification of Software-defined Vehicular Networks

  • Access Technologies – Wi-Fi, 5G, 4G, TV white Space and DSRC
  • Opportunities – Fast Network Configuration, Integration of Heterogenous Network, Enhanced Network Resource Usage and Network Function Virtualization
  • System Entities – Controller Plane, Communication Interface and Data Plane
  • Network Entities – SDN RSU, Controller, Wireless node and RSU controller
  • Operational Modes – Distributed Control, Central Control and Hybrid Control
  • Services – SDN enabled Traffic Control, Network Virtualization, Infotainment, VANET Security, Parking and Traffic Light Control, Demand VANET Surveillance

Architecture of SDVN with NDN

In point of fact, here we have combined SDN, NDN and vehicular networks in one place. The primary motive of this collaboration is to give advantages and specializations of SDN on named data in vehicular network. As a result, it helps to achieve the efficient resource usage in the network. This collaborated network is made up of:

  • SDN controller
  • Moving cars
  • Base stations (BSs)
  • Static roadside units (RSUs)

Additionally, the integration of NDN in-network entities makes effective network management. Overall, it manages the flow of data and enables fast data requests and responses in a vehicular network. Technically, it is challenging to integrate all these areas in one. So, our resource team has collected numerous solutions to overcome all possible issues in developing SDN-controlled VNDN (Vehicular Named Data Network). Here, we have given some key challenges of Named Data Networking for Software-Defined Vehicular Networks.

Research Challenges of NDN for SDVN

  • Mixing of Different Networks
  • Run-time Fast Network Configuration
  • Network Resource Consumption
  • Wider Rule Description and policies
  • Routing constraints in HetNets
  • Scalable Network Architecture
  • Global Network Connectivity
  • Security over SDN-VANET
  • Dynamically changing SDN-VANET network topology
  • Routing, Forwarding and Security
  • Mobility-Aware Edge Content Caching
  • Distributed Storm Mitigation and Hop Routing
  • Delay Control in SDN-VANET
  • Mobile Vehicle Distributed Behavior Analysis
  • Network Entity Misbehavior Detection
  • Reliability Assessment and Access Revocation
  • Delineation of SDN to VANET
  • Interworking Gaps in HetNets

As mentioned earlier, our resource team is well-equipped with a strong technical foundation in both fundamental and advanced technologies for integrating NDN with SDN-based Vehicular networks. Consequently, this integration of areas yields more benefits among digital society developments. So, our experts choose the research areas which surely create a more positive contribution to digital society. And, we collected countless thought-provoking research notions for the benefit of our handhold scholars. Here, we have highlighted the top three research ideas from the latest research areas of NDN-based SDVN. 

3 Major Ideas in SDVN with NDN

  • Caching
    • Caching is implemented by nodes of content distribution task
    • Principles of caching comprises probability-oriented caching, cache-all and popularity-oriented caching
    • Further, it also includes caching pattern and cache location concepts to represent format and place of content for caching process
    • The static entities (edge devices) in dynamic environ are significant to caching the content
    •  Further, SDN controller prevent unwanted duplicates of content by specifying accurate content location
    • As a result, it manages the network overheads and increases the content storage
  • Content Naming
    • Content Naming in NDN is intended to recognize and retrieve the chunks of data or entire data
    • For instance: the concept of NDN is applied in integrated computing network (ICN)
    • This ICN follows hierarchical naming structure where the names separated using “/”
    • In the case of VN scenario, content naming used to identify the relation and spatial/temporal information of either data or chunks of data
    • Further, the routing and searching decisions are also taken based on content name for efficiency and quickness
  • Intelligent Forwarding
    • Generally, the content distribution of NDN use FIB table
    • This FIB table holds the information of outward face ID(s), parameters (like face(s) ranks)
    • Then, this face(s) rank satisfies the interest value for further interest forwarding
    • But in contrary, the face(s) rank may minimize due to failures of successive data retrieval
    • Here, rank specify the priority of face for interest forwarding
    • If (rank > threshold), then rank will be eliminated from FIB table
    • So, the success possibility of interest satisfaction is based on FIB table data

In addition, we have also given a few more current areas/topics of NDN-based SDVN. Additionally, we have given the emerging challenges with their corresponding findings. Similarly, we also support you in other areas and provide you best-fitting solutions through modern technologies. Further, we also motivate you to bring your own ideas and guide from research problem identification to experimental result analysis. 

Project Topics in NDN for SDVN

  • AoI Reduction
    • Issues
      • At the moment of handling transient non-safety and safety traffic, it minimizes AoI
    • Discoveries
      • Transmitting frequency to density nodes
      • Intelligent queuing methods (MAC layer)
      • Timestamp in both content packets and query for eliminating expired ones
  • AoI Evaluation
    • Issues
      • Security-based vehicular applications are concerned on fresh data
    • Discoveries
      • Long distance among terminals and vehicle density
  • Caching Strategy
    • Issues
      • Decision-making on cache content based on freshness data and other parameters
    • Discoveries
      • Removing old content due to new versions
      • Minimizing caching content probability along with high AoI
  • Cache Consistency
    • Issues
      • Identifying freshness of data
      • Organization of cached contents along with source updates
    • Discoveries
      • Cache-based pulling (receive) and Source-based pushing (distribute)
      • Identification of series of number information, timestamp, lifetime

Experiment Parameters for NDN

Basically, the efficiency of the computer network model is affected by several parameters. Similarly, NDN over SDVN network also has some parameters that influence the performance of the model. On experimenting with the NDN-based content delivery, the following parameters are needed to be considered. In this, we have given content parameters followed by system and workload parameters. Further, our developers also guide you to choose the parameters appropriately to boost system performance.

  • Network Parameters
    • System / hardware-oriented parameters are not flexible to modify easily
    • Majorly, it works on default system settings
    • Enable to modify the CCNx configuration in every node in software parameter aspect
    •  Parameters
      • Network Topology
      • VM CPU and Memory
      • Transmission Protocol
      • Ethernet Interface
      • Number of Routers, Clients and Servers
      • Content Storage Capacity
      • Network Reliability
      • Client and Server Application
  • Network Simulation Parameters
    • In fact, the traces of real-time NDN packets are not available
    • So, artificial workloads are created to compute the parameters
    • Parameters
      • Content
        • Diversity
        • Name Length
        • Packet Size
  • Network Content Parameters
    • In NDN router configuration, we can alter the content storage capacity to specific the number of content pieces to be stored
    • Higher content storage can store more content an also handle more incoming requests
    • Parameters
      • Content
        • Diversity
        • Name Length
        • Storage Capacity
        • Packet Size
Our Skills and Knowledge in Named Dat Networking Software Vehicular Network Research Guidance

Future Directions in NDN for software defined vehicular networks

Open Issues and Research Roadmap

Certainly, SDN, NDN, and vehicular networks are individually advantageous in different aspects. When we integrate all three in one place, it is even advantageous in creating new achievements. Although this collaborative field is beneficial in multiple aspects, NDN is a newly developed architecture. So, it still facing various scientific issues in the travel of seamless evolution. Here, we have given you some significant open issues in NDN in SDVN.

  • Impreciseness in Localization Prediction
    • Need more effort and adjustments in localizing vehicles due to increased mobility
    • Also, Detachment of control plane from data plane is not flexible in large-scale network
    • So, ultra-speed internet is needed to manage communication between these planes in regardless of device-type and location
  • Complex Construction of Forwarding Rule Table
    • In collaborated environ (VN, NDN, SDN), creation of forwarding rule table is a challenging task
    • It has minimum previous studied references
    • Primarily, it collects data from tables and execute the techniques on upper layers
    • However, it helps to take takes decision over content distribution
  • Inefficiency Content Searching
    • In order to cope with data dissemination in mobile network, DN is developed
    • Here, it produces massive data and maximize the devices speed. So, it needs smart algorithms to ease the content search process
    • As mentioned earlier, NDN follow hierarchical naming for large-scale search
    • However, it faces the challenges over real-time execution in dataset and Hadoop aspects
  • Challenges in HetNets Integration
    • Integration of Named Data Networking for Software Defined Vehicular Networks is a challenging job to perform
    • Since, the SDN enabled content distribution over VN leads to several technical problems
    • For instance: SDVN platform comprises different technologies which can cause lack of appropriateness in network interoperability, fragmentation and resource allocation

So far, we have discussed the role of SDN and NDN in delivering named content over vehicular networks. In this, we have debated on the functionalities and advantages of SDN-NDN, NDN-based VN, SDN-based VN, and NDN in SDVN. And also, we have discussed the modern architecture of NDN with their future transition. 

Then, we have discussed the current research challenges of real-time execution and parameters to elevate the performance of the system. Though NDN and SDN are moving towards the direction of maturity, it still needs research concern to create a strong groundwork for managing dynamic mobile networks like a wireless vehicular network. So, we have framed several solutions for Named Data Networking for Software-Defined Vehicular Networks applications.

On the whole, we support you in every stage of your studies like research, development, and manuscript writing (with unlimited revisions). To the great extent, we also assist in paper publication on reputed journals like Springer, IEEE, ScienceDirect, etc. We assure you that our research works are 100% plagiarism-free and 100% top-quality. So, reach us to reach your research destiny within your stipulated time. 

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