# Information Fusion in Autonomous Vehicle Using Artificial Neural Group Key Synchronization
## 4 Results and Discussions
However, as demonstrated in Section 4, on vehicles that are fitted with acceleration, such as Nvidia Tegra systems, this average time required by safety computations can be reduced. This section of the approach simulates circumstances in which both automobiles and RSUs are fitted with Nvidia Tegra platforms, but neither vehicle nor RSU has such acceleration. In the simulation, this method set it up so that at least one vehicle reaches an area per short time interval, and this procedure keep updating the transmission key. Some of them have the requisite keys, so the only key swap is necessary, while others do not and attempt to obtain a replacement key through the RSU. The successful assumptions ratios have been set at 0.3, 0.5 and 0.7. Figure 13 depicts the delay sharing for the value of \(\beta=0.7\). The findings on the Nvidia Tegra platform are compared to the different hardware implementation results based on the estimated time in [9]. It has been discovered that once the \(\beta\)is set to 0.7, which indicates a good accurate ratio of assumptions, most cars do not require upgrading key requests. The latency is equal to the time it takes to switch keys (\(\triangle Time_{\textit{Swithc Key}}\)). Furthermore, when the number of upgrading requests decreases, the average delay for key sharing decreases. Requests are made and executed in 2 nd stage trust for some cars that do not have previously-shared keys for this area, as illustrated in Figure 12. Under this scenario, the Nvidia Tegra platform's speeding up can minimize the ECDSA signature and authentication time, lowering key sharing delay. Figure 14 depicts the average delay caused by key sharing. Lower key sharing latency can be obtained with a greater accurate assumption ratio. The speeding up made by the introduction of the Nvidia Tegra SoC platform may be seen for the same assumption ratio. This paper demonstrates the benefits of adopting an area-based key previously-sharing scheme in this simulation. First, by lowering request quantities, the area-based key sharing network can minimize the average delay. The average delay can be reduced with a high accuracy prediction ratio. The second issue to consider is that key sharing is a form of information interchange process that includes data communication as well as the essential safety computations, whereas key requests/responses are a type of information conveyed in V2X divergent system. The time spent on safety computation activities is decreased by GPU acceleration, as per the assessed findings given in Figure 14. As a result, information interchange latency between cars and RSUs in V2X systems is significantly decreased for critical request/response. Figure 13: The findings on the Nvidia Tegra platform are compared to the different hardware implementation results based on the estimated time in [9]. For an input vector, the TLTPM system was constructed. TLTPM syncing was first accomplished by utilizing optimum weights ranging from 3 to 7. Figure 15 shows the average number of learning phases necessary to reach weight coordination for various weight range values for both ring and tree topologies for a constant number of members \(m=8\). For such constant \(\lambda\) value of 7, Figure 16 displays the average range of learning stages plotted against the amount of users. As predicted, the coordination time increases as \(\lambda\) and the number of members increases. When contrasted to the ring system, the number of training necessary to generate a key utilizing tree structure is clearly fewer. The following are the common problems to consider while designing group standards:  
The proficiency of a group key exchange method may vary as the amount of the group of members varies. The method's extensibility indicates to its capacity to be expanded to consider a broad group. Extensibility in the terms of confidentiality relates to the distribution and management of keys, as well as a variety of other safety regulations, when the group grows or shrinks.