# A Novel Energy-Efficient Reservation System for Edge Computing in 6G Vehicular Ad Hoc Network
## 3 Methodology
### Edge Computing in VANETs  
Edge computing is a paradigm within distributed computing that enables the processing of data at the edge of the network, closer to the source of the data. It aims to reduce the latency and bandwidth requirements associated with sending data to the cloud  
Figure 7: Intelligent transportation system (ITS). for processing, while providing real-time data analysis and responses. Research is being conducted to develop architectures for edge computing that can efficiently process data closer to the source. This includes investigating various edge computing models, such as cloud edge computing, fog computing, and mobile edge computing. It has a wide range of potential applications, including industrial Internet of Things (IoTs), smart cities, healthcare, and autonomous vehicles. Research is focused on developing applications that can benefit from edge computing and designing solutions that address the specific requirements of these applications. As edge computing involves processing data closer to the source, security is a major concern. Thus, it is necessary to develop security solutions that can protect edge computing devices and networks from various threats, such as data breaches, malware attacks, and denial-of-service attacks. It also requires a robust and reliable network infrastructure to enable efficient communication between edge devices and the cloud. Research in [18] focused on developing networking solutions that can support edge computing, such as 5G, SDN, and NFV. Edge computing involves processing data in real time, which requires high performance and low latency. Research is also focused on optimizing the performance of edge computing systems, including developing efficient algorithms, optimizing resource allocation, and reducing energy consumption. By processing data at the edge, edge computing can significantly reduce the amount of data that need to be transmitted to the cloud. This can help to reduce the bandwidth requirements and associated costs. Edge computing [28] can enable new business models, such as providing edge services to customers or leveraging edge computing to enable new products or services. For example, edge computing could be used to provide real-time monitoring and analysis for industrial IoT applications. This may include developing new algorithms and analytics tools, as well as building applications that can operate effectively in resource-constrained edge environments. Edge computing research is focused on developing technologies and architectures for the efficient and effective processing of data at the edge of the network. Mobile edge computing (MEC) [7] is a paradigm within distributed computing that enables the processing of data at the edge of the mobile network, closer to the end-user devices. Research is focused on developing architectures for MEC that can efficiently process data closer to the end-user devices. This includes investigating various MEC models, such as centralized MEC, decentralized MEC, and hybrid MEC. Edge computing can also improve the reliability of communication in VANETs by reducing the dependence on centralized servers. By distributing computing resources and services closer to the source, edge computing [40] ensures that communication can continue even in the event of a network outage or server failure. This is particularly important in the context of VANETs, where communication can be disrupted by factors such as high-speed mobility, signal attenuation, and interference. Edge computing can also enhance privacy and security in VANETs by reducing the need to transmit sensitive data over the network, as shown in Figure 8. By processing data locally, edge computing can limit the amount of data that need to be transmitted over the network, which can reduce the risk of data interception and unauthorized access. Edge computing can also enable the use of encryption and other security measures closer to the source, which can further enhance security.