Task scheduling optimization strategy for roadside unit based on security strength
In the context of cooperative vehicle-infrastructure systems (CVIS), vehicles often offload computational tasks to roadside units (RSUs) for execution due to their own constrained computing resources. A novel approach that has garnered increased attention involves the "vehicle-edge-cloud"...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
POSTS&TELECOM PRESS Co., LTD
2024-04-01
|
| Series: | 网络与信息安全学报 |
| Subjects: | |
| Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2024027 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841529491214565376 |
|---|---|
| author | SU Beipo DAI Liang JU Yongfeng |
| author_facet | SU Beipo DAI Liang JU Yongfeng |
| author_sort | SU Beipo |
| collection | DOAJ |
| description | In the context of cooperative vehicle-infrastructure systems (CVIS), vehicles often offload computational tasks to roadside units (RSUs) for execution due to their own constrained computing resources. A novel approach that has garnered increased attention involves the "vehicle-edge-cloud" framework, wherein RSUs decide whether to process tasks locally or to offload them to the cloud. The open and unpredictable nature of the wireless channels on the "edge-cloud" interface necessitates the incorporation of a security mechanism to safeguard the integrity of information transmission. However, integrating such a security mechanism can escalate the energy consumption of RSUs. Addressing the challenge of jointly optimizing roadside energy consumption and information security utility, without compromising task delay constraints, is a complex issue. To tackle this, an energy-packets queue tradeoff of task scheme and encryption strategy (EPTS) was introduced. This approach involved the development of a vehicle speed state model, a task encryption model, a data cache queue model, and a task calculation model, along with the formulation of an optimization objective function. The optimization model was subsequently transformed using Lyapunov optimization theory and was reformulated as a knapsack problem for resolution. The simulation results confirm the EPTS's commendable convergence and effectiveness. The average objective value achieved by the proposed EPTS was found to be 17% superior to that of the Equal Allocation Strategy (EAS) and 21% superior to the queue-weighted strategy (QS). |
| format | Article |
| id | doaj-art-0f3a1c5dc03640d5bb1eccfc7d8aa373 |
| institution | Kabale University |
| issn | 2096-109X |
| language | English |
| publishDate | 2024-04-01 |
| publisher | POSTS&TELECOM PRESS Co., LTD |
| record_format | Article |
| series | 网络与信息安全学报 |
| spelling | doaj-art-0f3a1c5dc03640d5bb1eccfc7d8aa3732025-01-15T03:17:10ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2024-04-011010612063897595Task scheduling optimization strategy for roadside unit based on security strengthSU BeipoDAI LiangJU YongfengIn the context of cooperative vehicle-infrastructure systems (CVIS), vehicles often offload computational tasks to roadside units (RSUs) for execution due to their own constrained computing resources. A novel approach that has garnered increased attention involves the "vehicle-edge-cloud" framework, wherein RSUs decide whether to process tasks locally or to offload them to the cloud. The open and unpredictable nature of the wireless channels on the "edge-cloud" interface necessitates the incorporation of a security mechanism to safeguard the integrity of information transmission. However, integrating such a security mechanism can escalate the energy consumption of RSUs. Addressing the challenge of jointly optimizing roadside energy consumption and information security utility, without compromising task delay constraints, is a complex issue. To tackle this, an energy-packets queue tradeoff of task scheme and encryption strategy (EPTS) was introduced. This approach involved the development of a vehicle speed state model, a task encryption model, a data cache queue model, and a task calculation model, along with the formulation of an optimization objective function. The optimization model was subsequently transformed using Lyapunov optimization theory and was reformulated as a knapsack problem for resolution. The simulation results confirm the EPTS's commendable convergence and effectiveness. The average objective value achieved by the proposed EPTS was found to be 17% superior to that of the Equal Allocation Strategy (EAS) and 21% superior to the queue-weighted strategy (QS).http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2024027cooperative vehicle-infrastructure systemroadside unitsenergy consumptioninformation security utilityLyapunov |
| spellingShingle | SU Beipo DAI Liang JU Yongfeng Task scheduling optimization strategy for roadside unit based on security strength 网络与信息安全学报 cooperative vehicle-infrastructure system roadside units energy consumption information security utility Lyapunov |
| title | Task scheduling optimization strategy for roadside unit based on security strength |
| title_full | Task scheduling optimization strategy for roadside unit based on security strength |
| title_fullStr | Task scheduling optimization strategy for roadside unit based on security strength |
| title_full_unstemmed | Task scheduling optimization strategy for roadside unit based on security strength |
| title_short | Task scheduling optimization strategy for roadside unit based on security strength |
| title_sort | task scheduling optimization strategy for roadside unit based on security strength |
| topic | cooperative vehicle-infrastructure system roadside units energy consumption information security utility Lyapunov |
| url | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2024027 |
| work_keys_str_mv | AT subeipo taskschedulingoptimizationstrategyforroadsideunitbasedonsecuritystrength AT dailiang taskschedulingoptimizationstrategyforroadsideunitbasedonsecuritystrength AT juyongfeng taskschedulingoptimizationstrategyforroadsideunitbasedonsecuritystrength |