Secure Data Communication in Vehicular Networks for Disaster Rescue

Ground recovery automobiles operating in the regions impacted by the catastrophe should coordinate their efforts and communicate a large amount of data with one another. This data should include rescue orders, details on the state of the roadways, and data on prior rescue missions. This will guarantee that you are able to drive safely and effectively respond. Unmanned aerial vehicles (UAVs), which can be used to conduct instant recovery services in places that are destructed and assist in sharing data for ground Vehicular networks, can be utilised when connectivity investments are damaged as a consequence of climate change. UAVs can help share data for field Iot environments and can conduct recovery services in areas that have been damaged. However, in a tragedy scenario involving UAV-assisted IoV, there are possible safety threats on intelligence sharing among machines and UAVs. These threats are the outcome of an unreliable distributed environment, unreliable improper behavior tracing, and minimal information. These issues could compromise the integrity of shared data. The interconnection of the relevant vehicles and unmanned aerial vehicles (UAVs) makes these dangers possible. In this article, we create a lightweight vehicular blockchain-enabled secure (LVBS) data exchange architecture for the Automotive Internet of Things that is helped by unmanned aerial vehicles (UAVs) to assist in hurricane relief. The concerns which have been voiced will be addressed more effectively as a result of this. To begin, we will discuss the new UAV and smart contracts collaboration high - altitude system architectures that we have developed for usage in places that have been affected by natural disasters. A resource consensus method is developed for the lighter vehicular ecosystem in the second step of our project. This not only makes it possible for us to track and record data exchanges in a manner that is both safe and immutable, but it also helps us arrive at a majority more quickly while ensuring that its degree of safety is not compromised. In the end, comprehensive models are tested, which demonstrate that LVBS has the ability to effectively increase the safety of the consensual phase and stimulate the data exchange of a great quality. This is shown by the fact that LVBS has been shown to have this capacity.