Research Article
System Completion Time Minimization with Edge Server Onboard Unmanned Vehicle
@INPROCEEDINGS{10.1007/978-3-031-24383-7_15, author={Wen Peng and Hongyue Wu and Shizhan Chen and Lei Dong and Zhuofeng Zhao and Zhiyong Feng}, title={System Completion Time Minimization with Edge Server Onboard Unmanned Vehicle}, proceedings={Collaborative Computing: Networking, Applications and Worksharing. 18th EAI International Conference, CollaborateCom 2022, Hangzhou, China, October 15-16, 2022, Proceedings, Part I}, proceedings_a={COLLABORATECOM}, year={2023}, month={1}, keywords={Edge computing Computation offloading Mobility server Unmanned vehicle}, doi={10.1007/978-3-031-24383-7_15} }- Wen Peng
Hongyue Wu
Shizhan Chen
Lei Dong
Zhuofeng Zhao
Zhiyong Feng
Year: 2023
System Completion Time Minimization with Edge Server Onboard Unmanned Vehicle
COLLABORATECOM
Springer
DOI: 10.1007/978-3-031-24383-7_15
Abstract
With the advantages of flexibility and powerful computing resources, edge servers mounted on unmanned vehicles (V-edge) have attracted significant interest in mobile edge computing (MEC). In this paper, we design an offloading scheme for vehicle-mounted edge rescue systems with the consideration of road limitations. In these systems, edge servers can receive data and process them while on the move. The objective is to minimize the completion time of tasks within the system under both time-varying communication and computation resource constraints. The formulated problem is decomposed into two subproblems, i.e., task completion time minimization within communities and V-edge travel time minimization between communities. For task completion time minimization, we propose an SQP-based iterative algorithm, which can generate feasible stopping points by using quadratic programming. V-edge travel time minimization problem can be converted to a TSP problem and thus can be solved by some existing methods. Finally, experiments are conducted to verify the usability of the proposed approach.
