Abstract
In the Internet of Vehicles (IoV), with the increasing demand for intelligent technologies such as driverless driving, more and more in-vehicle applications have been put into autonomous driving. For the computationally intensive task, the vehicle self-organizing network uses other high-performance nodes in the vehicle driving environment to hand over tasks to these nodes for execution. In this way, the computational load of the cloud alleviated. However, due to the unreliability of the communication link and the dynamic changes of the vehicle environment, lengthy task completion time may lead to the increase of task failure rate. Although the flooding algorithm can improve the success rate of task completion, the offloading expend will be large. Aiming at this problem, we design the partial flooding algorithm, which is a comprehensive evaluation method based on system reliability in the vehicle computing environment without infrastructure. Using V2V link to select some nodes with better performance for partial flooding offloading to reduce the task complete time, improve system reliability and cut down the impact of vehicle mobility on offloading. The results show that the proposed offloading strategy can not only improve the utilization of computing resources, but also promote the offloading performance of the system.
Highlights
The rapid development of smart city systems has promoted the development of the Internet of Vehicles (IoV)
Compared with the algorithm such as MH and path prediction, the performance of the partial flooding algorithm is improved by 46.52% and 44.06%, respectively, which ensures the stability of the V2V communication link
Compared with the algorithm only offloading to one node, the partial flooding algorithm proposed in this paper improves the reliability of the system
Summary
The rapid development of smart city systems has promoted the development of the IoV. Today, many invehicle applications are applicable to mobile robots and autonomous driving. In the invehicle dynamic environment, the randomness of node motion may cause the communication link to be broken, affecting the completion time of the task; though the flooding strategy can greatly reduce the impact of vehicle node mobility on computing offload, for it occupies too much system resources, it will cause a certain waste of resources. The constraint condition (a) guarantees that the reliability of the offloading system must be greater than the set system reliability threshold, that is to say, the influence of the reliability of the system on the offloading cannot be neglected for the minimum value obtained; the constraint condition (b) Considering the performance of each resource, required that the time Tsum for the selected k nodes to complete the task is enough to meet the deadline, to reduce the failure rate of the task. The experimental data of this experiment are the system reliability Ps, the task offloading time tsum(including the task communication time and the task computation time), the time twait of the node waiting for the link when the link is disconnected, the task completion time tfinish, and the resource utilization rate ue. among them, Fig. 7 Vehicle-based self-organizing network based on Manhattan motion model
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
