Emergency Message Dissemination in Vehicular Network Research Topics

Emergency Message Dissemination in Vehicular Network Research Topics is the research topic here discussed in this paper. It is a kind of wireless communication network which is developed for vehicles. Then below we provide the details about our proposed technology.

  1. Define VANET

In the beginning of the research we first see the definition for VANET technology. It stands for “Vehicular Ad-Hoc Network” and it is an enhanced form of mobile ad-hoc network (MANET) which is planned to allow interaction among vehicles (generally automobiles) and roadside framework. It is a primary element of the Intelligent Transportation System (ITS) and is planned to enhance traffic management, whole transportation efficiency and road safety.

  1. What is VANET?

Thereafter the definition we look over the detailed interpretation for VANET technology. It is a kind of wireless communication network particularly developed for vehicles. It allows the vehicles to interact together and with the roadside framework, developing a dynamic and linked network through vehicular surroundings.

  1. Where VANET used?

Succeeding the definition we consider where to utilize the VANET technology. These networks are frequently utilized to enhance traffic management, road safety and offer different transportation and automotive based services.

  1. Why VANET environment technology proposed? , Previous technology issues.

Here we proposed a VANET technology and it is proposed to tackle the issues in existing communication and transportation technology by presenting actual-time Vehicle-to-vehicle and Vehicle-to-structure interaction abilities. This technology has the possibility to essentially enhance road safety, improve emergency response, decrease traffic overload and create transportation systems more effective and intelligent. Some of the existing technology issues are connectivity gaps, Limited traffic information, absence of structure communication, road safety, traffic congestion, inadequate fuel consumption and emergency response.

  1. Algorithms / Protocols

Now we see the methods or techniques to be used for our proposed research. The methods that we employed are Improved Twin Delay Deep Deterministic Policy Gradient Algorithm (IT3DPG), Light Gradient Boosting Machine Algorithm (LGBM), Modified Density Peak Clustering Algorithms, Improved Firefly Optimization Algorithm (IFO) and Urban Multi-hop Broadcast and Best Forwarder Selection Protocol (UMBBFSC).

  1. Comparative study / Analysis

We proposed a VANET technology based research and it is compared with various methods to obtain the best finding for our research. The methods that we compared are as follows.

  • BY utilizing the Modified Density Peak Clustering Algorithms the network interaction is better, effective topology management, enhanced energy efficiency and decreased delay.
  • Urban Multi-hop Broadcast and Best Forwarder Selection Protocol (UMBBFSC) method to select the optimal path and this also enhances the performance of multi-cop broadcast and best forwarder selection relating to message propagation speed, one-hop delay and message reception amount.
  • The IFO method is utilized to answer difficult tasks in an easy way and the features that cause easy accessibility, scalability and robustness.
  • The targeted region is selected to distribute the urgency messages by utilizing the Improved Twin Delay Deep Deterministic Policy Gradient Algorithm (IT3DPG) on the basis of number of vehicles per plane, direction, transmission of packets and number of vehicles crossing.
  • For handling the large-scale data and also has high classification accuracy, LGBM technique is applied.
  1. Simulation results / Parameters

In this research we proposed a VANET technology and it overcomes several existing technology issues. Then here we compared some performance metrics or parameters to obtain the best findings. The metrics that we compared are Throughput and Packet received with No. of vehicles and the other metrics that we compared are end to end delay, transmission delay, coverage and the packet delivery ratio with the vehicle density.

  1. Dataset LINKS / Important URL

VANET technology is proposed in this research and it addresses some existing technology problems to overcome that. The following are some important links that give assistance to us when any doubts arise between us.

  1. VANET Applications

Let’s see the applications that use our proposed VANET technology. Some of the applications that use VANET applications are Public Transportation Management, Traffic Management and Optimization, Roadside Unit (RSU) Management, Traffic Flow Prediction and Analysis, Collision Avoidance and Emergency Services and Alerts.

  1. Topology for VANET

The VANET technology is proposed to enhance the previous technology issues. The topologies that utilize are Super clusters, Dynamic mobility, Roadside Units (RSUs) and Geographic Information System (GIS) Integration.

  1. Environment in VANET

Environment for VANET is important for accurate testing, simulations and research in VANET related technologies and applications. The environment should impersonate actual-world situations and difficulties that vehicles meet on the road.

  1. Simulation Tools

In this research the simulation tools or software requirements that are needed are as follows. The processor utilized by this research is Intel (R) coreTM i5-4590S.  The simulation tool here we used is OMNET++ 4.6 and SUMO 0.19.0. The operating system here we employed for this research to implement the work is Windows 10 Pro.

Parameters Values
Version of OMNET++ OMNET++ 4.6
Version of SUMO SUMO 0.19.0
Number of vehicles 100
Blockchain node 1
Number of ERSU 4
Controller 3
Log collector 1
Vehicle acceleration 3.5m/sec2
Packet interval 2s
Generated packet number 100
Packet size 512
No. of packets ~5000
End-to-End delay 1ms
Data rate Max 2kbps
Simulation time 500s
Transmission power 10mW
Rate of transmission 18 Mbps
Bandwidth 10 MHz
Simulation area 2750m×2250m


  1. Result

VANET based emergency message dissemination method is proposed in this research. It will address several previous technologies to overcome that. Then we compared different performance metrics for our research with the existing technologies and to verify that our technology gives the best findings when compared to others. This can be implemented by using the operating system Windows 10 Pro.

Emergency Message Dissemination in Vehicular Network Research Ideas:

Below we offer research topics that are related to our proposed VANET technology. These are very useful to us when we have any clarifications related to the research utilizing these topics to clear that.

  1. Design an Adaptive Trajectory to Support UAV Assisted VANET Networks
  2. Impact of realistic mobility models on the performance of VANET routing protocols
  3. Successful Delivery Using Stable Multi-Hop Clustering Protocol for Energy Efficient Highway VANETs
  4. An Efficient Secure VANET Communication Using Multi Authenticate Homomorphic Signature Algorithm
  5. Cluster Optimization in VANET using MFO Algorithm and K-Means Clustering
  6. Analyzing Doppler Effects in Millimeter Wave VANET Communications Using BCH Coding
  7. Intrusion Detection System for SDN based VANETs Using A Deep Belief Network, Decision Tree, and ToN -IoT Dataset
  8. RSSI-Based Sybil Attack Detection Under Fading Channel in VANET
  9. Machine Learning for Link Adaptation Problem Formulation in VANETs
  10. Reducing Bootstrap Overhead within VANET Blockchain Applications through Pruning
  11. VANET Framework for Incident Response and Management
  12. Traffic Control and QoS improvement Analysis in V-to-V and V-to-RSU Communication in VANET
  13. VANET Real Safety Congestion Control Wireless Access in Vehicular Environment Using Artificial Intelligence
  14. Efficiency of VANET Routing Algorithms in Traffic Use Cases
  15. Comparative Analysis of AODV and MTP Routing Protocols in VANET
  16. Vehicle-to-Vehicle Communication using VANET
  17. Fast tracing method for Sybil attack in VANETs
  18. A Comparative Analysis of Resource Allocation in VANET using DSRC and C-V2X
  19. Stable Clustering in VANET Using Federated Deep Reinforcement Learning
  20. Optimal Cluster Minimization for VANETs using Modified Tuna Swarm Optimization
  21. A Lightweight Secure Authentication Protocol for VANETs
  22. Data Delivery Incorporating Blockchain in Vanet Simulation Environment
  23. Collision Resolution of VANET Nodes for TDMA MAC Protocol
  24. Speed-Aware Flow Management with Packet Classification to Mitigate Congestion in VANETs
  25. Security Breaches in VANETs and Possible Solutions
  26. Comment on “Secure and Lightweight Conditional Privacy-Preserving Authentication for Securing Traffic Emergency Messages in VANETs”
  27. Performance Comparison and Analysis of AODV, DSDV and DSR Routing Protocols in VANET for Urban Scenario
  28. PreZcast: A Preferred-Zone Based Broadcast Protocol for Urban Areas of VANETs
  29. Comparative Evaluation of OLSR, DSDV and AODV Routing Protocols Across Varied Propagation Loss Models in VANETs
  30. Survey of Multicast Routing Protocols in VANET
  31. Enriched Model of Pigeon Inspired Pseudonym Generation for Privacy Preservation of Vehicles Location in VANET
  32. FedVANET-TP: Federated Trajectory Prediction Model for VANETs
  33. Conditional Privacy-preserving Authentication and Message Dissemination Scheme using Timestamp based Pseudonyms for VANETs
  34. Connectivity Probability Analysis for VANETs with Big Vehicle Shadowing
  35. Misbehavior Detection and Identification in DF Multi-Relay VANETs
  36. ESCORT: Efficient Status Check and Revocation Transparency for Linkage-Based Pseudonym Certificates in VANETs
  37. A Multi-tier accredit based security for trustworthiness in VANET’s using broadcasting mechanism
  38. TRUE: A Correlation Analysis Approach for Conducting Optimal Routing Metrics in VANETs
  39. Location Privacy Protection and Location Verification Mechanism of Vehicle in VANET
  40. Software Defined Network Framework & Routing Protocol Based on VANET Technology
  41. Dynamic Short Range Mobility Patterns based Vehicular Communications for 5G-VANET
  42. Lightweight and Secure Multi-Factor Authentication Scheme in VANETs
  43. A Lightweight IoT-Based Framework for Vehicular Ad Hoc Network (VANET)
  44. An Efficient Blockchain-Based Certificateless Anonymous Authentication Scheme for VANETs
  45. Simulation Environment for the I9 Vanet Platform
  46. Performance Evaluation of Machine Learning-Based Misbehavior Detection Systems in VANETs: A Comprehensive Study
  47. Traffic and Speed Analysis with Effective Topology Selection Using a Cross Layer Approach for Vehicular Adhoc Networks (VANETs)
  48. Quantitative Survey on Software Defined Networks (SDN) in VANETs
  49. A Systematic Literature Review on Security of Vehicular Ad-Hoc Network (VANET) Based on VEINS Framework
  50. Event Message Clustering Algorithm for Selection of Majority Message in VANETs