Efficient resource allocation with context-awareness for parked car road side unit-based Internet of vehicles

Peng QIN; Haoting HE; Xiongwen ZHAO; Yang FU; Yu ZHANG; Miao WANG; Shuo WANG; Xue WU

doi:10.11959/j.issn.1000-436x.2022129

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Efficient resource allocation with context-awareness for parked car road side unit-based Internet of vehicles

Papers | 更新时间：2024-06-05

- Efficient resource allocation with context-awareness for parked car road side unit-based Internet of vehicles
- Journal on Communications Vol. 43, Issue 7, Pages: 113-125(2022)
- 作者机构：
  
  1. 华北电力大学新能源电力系统国家重点实验室，北京 102206
  2. 华北电力大学河北省电力物联网技术重点实验室，河北保定 071003
- 作者简介：
- 基金信息：
  
  The Natural Science Foundation of Hebei Province(F2022502017);The State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources under Grant(LAPS21018)
- DOI：10.11959/j.issn.1000-436x.2022129
  CLC： TN92
- Online First：2022-06，
  
  Published：25 July 2022
- 稿件说明：
移动端阅览
Peng QIN, Haoting HE, Xiongwen ZHAO, et al. Efficient resource allocation with context-awareness for parked car road side unit-based Internet of vehicles[J]. Journal on Communications, 2022, 43(7): 113-125.
DOI：

Peng QIN, Haoting HE, Xiongwen ZHAO, et al. Efficient resource allocation with context-awareness for parked car road side unit-based Internet of vehicles[J]. Journal on Communications, 2022, 43(7): 113-125. DOI： 10.11959/j.issn.1000-436x.2022129.

摘要

为减少路边单元（RSU）部署，同时满足移动车辆用户对处理时延敏感和计算密集任务的需求，提出了基于停放车辆环境感知的资源分配算法。选择路边停放的车辆替代 RSU 为车辆用户提供服务，将停放时间作为选择停放车辆路边单元（PCRSU）的决策要素，分别在内容缓存和分发2个方面设计了减小需求响应时延的机制。在内容缓存方面，PCRSU 通过感知用户历史搜索数据与兴趣点区域类型两类要素对用户进行个性化的内容推荐。在内容分发方面，PCRSU 通过感知车辆用户的数据传输需求，对带宽进行高效分配。实验证明，与已有方法相比，所提算法能更合理地选择PCRSU，有效降低系统的需求响应时延，在保证网络覆盖的同时提升系统稳定性，并且能为车辆用户提供更加准确的服务内容。

Abstract

In order to reduce the number of road side unit (RSU) and meet the needs of mobile vehicle users for processing latency-sensitive and computation-intensive tasks

a context-aware resource allocation algorithm was proposed based on parked cars.Road side parked vehicles were selected to serve the vehicle users instead of RSU using parking time as a factor for determining whether a parked vehicle could become a parked car roadside unit (PCRSU).In order to further reduce the system response time

a mechanism was designed considering content caching and distribution.In respect to user content caching

PCRSU made personalized content recommendation for vehicle users with awareness by using two elements of user historical search data and point of interest (PoI) area type.In respect to content distribution

PCRSU allocated bandwidth efficiently by sensing the data transmission needs of vehicle users.Extensive experiments show that compared with the existing benchmark methods

the proposed algorithm can select PCRSU more reasonably

effectively reduce the demand response delay

improve the stability of the network while ensuring network coverage

and provide more accurate service content for vehicle users.

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Keywords

references

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