Description: Field of Invention
The Cognitive Radio - Internet of Vehicle Network (CRIoVN) is complex because the present infrastructure of CRIoVN has broad vehicle density and restricted resources. There is no Cooperative Driving System (CDS), even with better channels present. So the present infrastructure leads to network congestion. A CDS based on 5G network architecture is chosen which includes the density-based scattered clustering framework with noise for vehicular clustering to improve efficiency of road traffic.
The objectives of this invention
The objective of this invention is to improve the communication between vehicles on the roads and to avoid network congestion. The CDS based on 5G network technology is enabled by Quality of Service (QoS) and facilitates improvement of traffic efficiency on road.
Background of the invention
This invention relates to improving the vehicular road traffic efficiency. The automation of vehicles is growing day by day and telecommunication technology helps in increasing the mutuality among vehicles as well as bounded by vehicles and different road users. Improving the reliability and capability of telecommunication system is required for driving and road safety. Present systems have the communication overhead and minimize the quality of channel state as several vehicle regions are connected to only one road-side units (RSUs) (F. Ahmad et al 2020). The problem of this network is that all Vehicle-to -Infrastructure (V2I) links bond spectrum with multiple Vehicle-to-Vehicle (V2V) subordinates (V. Vukadinovic, et al, 2018, A. Zaguia et al, 2019). The existing cooperative allocation scheme has not contributed much to minimize traffic congestion on road. Also the clustering schemes do not perform significant resource optimization in CRIoVN.
They invented that how to control the jump signal for vehicles on road traffic (202141051000), we need to improve the efficient resource distribution between vehicles to control vehicle density traffic on road.
The clustering system performs based on vehicles, which depends on GPS (Global Positioning System). The advance LTE (Long Term Evolution) scheme is required to control GPS signal interruptions. When the vehicles are travelling on the road, the location information of the vehicles is required to make driving related decisions in order to control vehicular traffic on road. The CDS are majorly based on wireless communication among V2V and among V2I and plays an essential role in vehicle traffic efficiency on road. The CDS includes human behavior that supports vehicle during travelling on road. If there is no proper signal among vehicles traffic congestion occur due to huge vehicle density on road. The 5G technology has different traffic management problems during the resource allocation. Most of the investigation done for resource allotment in CR-IoVN, focuses on huge network load during communication that causes traffic congestion. Hence, CR-IoVN network faces difficulty in handling large data process. We need to improve the communication among vehicles in dense area in order to improve CR-IoVN performance.
The 5G network improves the traffic flow control between vehicles on the road. The intelligent traffic management system is well equipped with a 5G network that will manage the traffic signals at the crossroads in smart cities and highways. The vehicles traveling in states are monitored by cameras and sensors. The 5G network supports taxi drivers (like Uber, Ola, etc.,) to pick up a huge number of passengers. This system improved traffic flow and minimized the vehicles' wait time. Hence, the dense vehicle traffic is controlled and improves the traffic efficiency on the road. A road with a 5G network has intelligent devices and several sensors which will enable the real-time situation between vehicles. The 5G networks include some frameworks used to control delay of communication which work cooperatively, but radio resource management does not include 5G-based network frames.
Description of Prior Art
The research finding on resource allocation in cognitive radio network using internet of things is essential for vehicles while travelling on road. The vehicles require an information of road conditions, traffic jams and traffic congestion. We require to improve the resource allocation system using IoT parameters. The vehicle communication systems are improved with optical communication system which include electronic circuit to exchange information (PCT/US2018/043947).
While driving the vehicle, they introduced shockwave prediction system to provide safe driving mechanism to prevent from communication congestion among the vehicle (US20210049900 A1). This studies focused on message exchange among the vehicles (US20160203712, WO2019/091645, US 20210058752 A1). This study focused on how to measure signal on roadside and transmission of road status reports to the vehicles on the road (WO2017/133769). This study focused on traffic Management systems(US 20190340922 A1)
Summary of the invention
The primary motive of the invention is to improve communication between vehicles on road even vehicle density in the network is high.
The ultimate aim is to improve the structure of CDS based V2V communication system which helps vehicles to improve communication between each other in order to improve traffic efficiency cooperatively. Another aim is to perform communication in real time scenario such as sharing information about road condition for vehicle’s traffic. The 5G based networks should cover the locations of vehicles on road using mobility control devices. The location servers of 5G user are connected with the access interface of Evolved Node B (ENodeB).
Detailed description of the invention
The current technology is to increase the communication between V2V during high density vehicle traffic on road. The innovative system contains CDS architecture and resource allocation systems that provide better resource allocation among vehicles on road. The 5G based network interfaces are complex but contribute additional features for D2D communication. The base station plays an energetic role by leading vehicles with control information to schedule the resources as per priority.
The innovation technology includes resource distribution paradigm of CDS for CR-IoVN. In this technology, the architecture of CDS creates a framework based on 5G network. Here, we need to achieve optimal resource distribution for which we should adopt clustering technology for CR-IoVN to distribute resources for better broadcast in CDS.
A CDS-based V2V communication assist vehicles to cooperate and communicate with each other on the road to modify traffic efficiency. The frameworks for resource allocation with CDS are established to control traffic of vehicle on road. A CDS grounded V2V communication system interconnects vehicles in a smart way to raise vehicular traffic efficiency on road. The significant QoS guarantee is necessary for optimal communication in CR-IoVN.
The ENodeB technology collects the vehicles information like how many vehicles are moving on the road, how many resources are available for each vehicle and how much additional resource is needed. According to ENodeB information, we need to allocate resources to every vehicle. 5G network integrates with traffic efficiency server (TES) which can allocate the resources for V2V communication to minimize traffic congestion. The TES frequently updates the vehicles information about availability of the vehicles and resources are calculated using bankers algorithm. TES and ENodeB must launch their connection in real time without delay. In 5G network, macro base stations play a vital role in improving resource allocation and facilitating efficient communication in V2V in any heterogeneous network. The macro base station in wireless infrastructure provide network coverage and support to V2V communication. ENodeB is a small cell that plays a vital role in 5G network architecture.
Another aim is to interconnect ENodeB, macro base station and TES to improve signal strength and handover resource to vehicles. In our invention the bandwidth is a resource. The ENodeB is a base station in our innovation that handover bandwidth-resource to vehicles. ENodeB is clustering head in the clustering scenario and all neighbor nodes are its active members that are involved in V2V communication. We can set radius for D2D communication. In our innovation, we can create a cluster zone for V2V communication that should avoid interference caused to vehicle movement on road. In clustering zone, all cluster members are interconnected within a radius range. The data broadcast range is high when the vehicles are in their own cluster range. As a vehicle goes away from the base station, the signal strength will decrease. So, all vehicles should communicate within their cluster zone. To improve communication, V2V makes new clusters when a vehicles moves from one cluster zone to another cluster zone. When huge amount of clusters are in communication within their specific radius leads congestion issues. Some intermediate nodes in clusters caused interruption because of all clusters are connected with both ENodeB. The ENodeB will control and avoid overlapping of vehicles among the clusters. This innovation improves the communication between V2V and minimizes vehicles traffic density on road. Throughput of the entire CR-IoVN is significantly improved.
The 5G network improves the traffic flow control between vehicles on the road. The intelligent traffic management system is well equipped with a 5G network that will manage the traffic signals at the crossroads in smart cities and highways. The vehicles traveling in states are monitored by cameras and sensors. The 5G network supports taxi drivers (like Uber, Ola, etc.,) to pick up a huge number of passengers. This system improved traffic flow and minimized the vehicles' wait time. Hence, the dense vehicle traffic is controlled and improves the traffic efficiency on the road. A road with a 5G network has intelligent devices and several sensors which will enable the real-time situation between vehicles. Our invention system include radio resource management systems.
In our invention system, Density-Based Spatial Clustering Applications with noise (DBSCAN) algorithm is used to create efficient communication between clusters. The DBSCAN algorithm stipulates epsilon, neighbourhood and min-sample. The epsilon is used to measure the distance of neighborhoods in each cluster. The min-sample is used to measure dense region information. In our invention system, the datasets are collected from the D2D communication system. Initially, we can create a resource pool and keep datasets in the pool. We can implement the DBSCAN algorithm on the data-set. During the vehicle movement, we can use a large-scale fading system to get channel state information in real-time. Our invention system stipulates that distance between vehicle points in clusters, minimum number of vehicles distance of dense area, based on the channel state information the information will be transfer between vehicles on highways. This system also makes a sub-frame with the allotted bandwidth for improving the communication between vehicles on highways.
4 Claims & 1 Figure
Brief description of Drawing
In the figures which are illustrate about the invention.
Figure 1 CDS architecture for resource allocation
Detailed description of the drawing
Figure 1 is the CDS architecture for resource allocation that provides cooperative communication among the vehicles on the road to increase traffic efficiency and QoS. When the vehicles are moving on the road, we need to know certain details like how many vehicles are in movement, how many resources are available and how much additional resources are required to control traffic density on road. These parameters are determined and analyzed by ENodeB access interface which associates with 5G network. The mobility management systems, TES and micro base station are interconnected and control the vehicles density traffic on road. The clustering technology is used to improve the communication efficiency. If any vehicle moves away from a cluster, the signal strength will be decreased. So we can create a new cluster zone when vehicles come away from one zone to another zone.
When several clusters are in communication within their radius can lead to several issues in CR-IoVN. Some intermediate nodes cause interruption because they are connected with both ENodeB. This architecture provides a value to each cluster zone that controls the communication within its precise range of EnodeB that evades overlapping of the vehicles between the clusters. , Claims: The scope of the invention is defined by the following claims,

Claim:
1. Our invention “Optimization of Resource Allocation using Cooperative Driving System in the Cognitive Radio – Internet of Vehicle Network” comprises:
a) The resource allocation system to allocate resources to the vehicles on road to control traffic. The resource types includes humans, vehicles and sensors.
b) The sensors continuously monitor and sense the signals. The CR-IoVN is provided for better communication.
c) The vehicles (1 and 2) on highways are grouped in many cluster to make efficient communication between vehicles. If (2) comes near to (1) then it will meet communication congestion, the (3) will create new zone to control communication congestion and make efficient communication among vehicles.
d) The mobility management system (4) provides the vehicles current information then we can control traffic congestion between clusters and provide better communication among the vehicles.
2. According to claim 1, the invention equipped with 5G based networks with CDS architecture which enables V2V communication and control vehicles traffic density on road.
3. According to claim 1, the invention comprises clustering system, macro base station and TES which enables V2V communication and cooperation among V2V to improve road traffic efficiency.
4. According to claim 1, the CR-IoVN improves communication among vehicles on road and enables QoS to improve road traffic efficiency.