- Title
- An efficient caching policy for content retrieval in autonomous connected vehicles
- Creator
- Rahim, Muddasir; Javed, Muhammad; Alvi, Alvi; Imran, Muhammad
- Date
- 2020
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/185354
- Identifier
- vital:16676
- Identifier
-
https://doi.org/10.1016/j.tra.2020.08.005
- Identifier
- ISBN:0965-8564 (ISSN)
- Abstract
- Connected vehicles will enable the smart and autonomous transportation systems in the future. Cellular Vehicle-to-Everything (C-V2X) communication will provide wireless connectivity to enable large number of connected vehicle applications. Vehicles will receive traffic and infotainment contents from the city traffic command center using C-V2X communications. In this context, infrastructure Road Side Units (RSUs) will cache urgent and popular data in their memory storage, hence providing vehicles to retrieve information from a closer vicinity at a RSU. In this paper, we present a content caching policy for the connected vehicles operator to improve the efficiency of the content retrieval in terms of download rate and delay. We propose the utility functions for the RSUs and vehicles to cache a particular content at a given RSU. Moreover, Gale-Shapley stable matching algorithm is used to efficiently allocate RSU cache to the contents. We also provide rules to update the cache slots. The proposed caching scheme is compared with random caching policy and market matching based caching policies. Results show that the proposed content caching policy improves the efficiency of the content retrieval with 60% more data transmission with reduced downloading time and better link utilization as compared to other two scheme. © 2020 Elsevier Ltd
- Publisher
- Elsevier Ltd
- Relation
- Transportation Research Part A: Policy and Practice Vol. 140, no. (2020), p. 142-152
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright © 2020 Elsevier Ltd
- Subject
- 3304 Urban and regional planning; 3509 Transportation, logistics and supply chains; Caching; Connected vehicles; Content retrieval
- Reviewed
- Hits: 242
- Visitors: 179
- Downloads: 0
| Thumbnail | File | Description | Size | Format |
|---|