Joint optimization of computation offloading and resource allocation considering task prioritization in ISAC-assisted vehicular network

Cao, D., Wu, M., Gu, N., Sherratt, R. S. ORCID: https://orcid.org/0000-0001-7899-4445, Ghosh, U. and Sharma, P. K. (2024) Joint optimization of computation offloading and resource allocation considering task prioritization in ISAC-assisted vehicular network. IEEE Internet of Things. ISSN 2327-4662 doi: 10.1109/JIOT.2024.3360962

Abstract/Summary

In the vehicular networks (VN) assisted by the integration of sensing and communication (ISAC), rapid processing of data from sensors is a necessary condition to ensure safe driving and enhance user experience. Utilizing the computational resources of the roadside unit (RSU) can effectively reduce the task processing delay. However, in some areas of the road, uneven distribution of task-vehicles can lead to severe load imbalance in neighbouring RSUs, and these tasks often have different delay requirements. The tasks in the high-load area can be offloaded to the low-load area to balance the load. We use the idle-vehicles in the low-load RSU area that are close to the task-vehicles as relays to hop and offload the tasks to the low-load RSUs. On the other hand, in order to satisfy the delay requirements of the heterogeneous tasks, this paper proposes the priority ordering of the heterogeneous tasks, the more delay-sensitive tasks require more resources to meet their delay requirements, i.e., the higher the priority. In order to both satisfy the delay requirements of heterogeneous tasks and maintain a small average system delay, we establish the optimization problem of minimizing the weighted average system delay and solve it by using the Relay Hopping and Differentiated Task Prioritization (RHATP) algorithm. Simulation results show that under the condition of guaranteeing the delay requirement of high-priority tasks, the strategy can achieve lower system delay and effectively reduce the processing delay in high-load areas. And it still maintains stable performance in different scenarios.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/115204
Identification Number/DOI	10.1109/JIOT.2024.3360962
Refereed	Yes
Divisions	Life Sciences > School of Biological Sciences > Biomedical Sciences Life Sciences > School of Biological Sciences > Department of Bio-Engineering
Publisher	IEEE
Download/View statistics	View download statistics for this item