To reduce the delay of task offloading in edge computing of the internet of vehicle and adapt the delay sensitivity and task repeatability of vehicle network, this paper presents a task offloading algorithm which utilizes the edge cache. When a task uploaded to the edge server and get corresponding results, Edge server evaluate factors including task total latency, size of result and popularity of the task to decide store the result in edge caching or not. If it is determined to be yes ,the following same task uploaded to the edge server will get the result from edge cache directly, reducing calculate delay of the task and operating cost of the entire system. The simulations show that this algorithm can reduce the latency and improve the availability of edge caching. In the ideal case. Compared with the original algorithm, the proposed algorithm can save 49% of the average latency and improve 31% availability of edge cache.
VANET is a special mobile ad hoc network, which is an indispensable part of ITS. One of its main functions is to provide security messages for the vehicle nodes. The high mobility of the nodes leads to frequent changes in the topology of the network, so it is necessary to design efficient and reliable MAC for VANETs. This paper improves on MoMAC by proposing an adaptive MAC protocol based on node density, called A-MoMAC. The protocol is no longer fixed for the time slot division. Before reserving time slots, the node will first adjust the time slot division according to the current traffic conditions in each lane. After the adjustment of frame partition, the node will determine a group of reservable time slots and then attempt to reserve a random time slot. Simulation results show that A-MoMAC is well suited to scenarios where nodes are non-uniform, improving channel utilization and reducing access collision.
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