Rahman, Anis Ur and Malik, Asad Waqar and Sati, Vishwani and Chopra, Arpita and Ravana, Sri Devi (2020) Context-aware opportunistic computing in vehicle-to-vehicle networks. Vehicular Communications, 24. p. 100236. ISSN 2214-2096, DOI https://doi.org/10.1016/j.vehcom.2020.100236.
Full text not available from this repository.Abstract
Recent advancement in communication among smart devices, vehicular fog computing introduces new dimensions for delay-sensitive applications. The traditional computing paradigm to install edge locations is no longer viable due to incurred latency while decision making, especially in delay-sensitive applications. In this paper, we propose a vehicle-to-vehicle task offloading framework that allows vehicles to utilize computation resources available at nearby vehicles. The objective is to bring fog computing near vehicles to achieve computational efficiency and improve quality of service. To overcome mobility issues, we implement Context-aware opportunistic offloading schemes based on speed, direction, and locality of vehicles. The schemes are compared to random offloading mechanism in terms of efficiency, task completion, failure rate, workload distribution, and waiting time. The results demonstrate a significant reduction in failure rate up to 10% with more tasks completed on vehicles within direct communication range. © 2020 Elsevier Inc.
| Item Type: | Article |
|---|---|
| Funders: | UNSPECIFIED |
| Uncontrolled Keywords: | Vehicular network; Task distribution; Cooperative fog computing; Opportunistic computing; Internet of connected vehicles |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Computer Science & Information Technology |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 14 Aug 2020 04:13 |
| Last Modified: | 14 Aug 2020 04:13 |
| URI: | http://eprints.um.edu.my/id/eprint/25358 |
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