Abstract
The idle computing resources of parked vehicles could be utilized to improve performance by assisting task executions in mobile edge computing (MEC) systems. As a result, the owner of a vehicle could be compensated, resulting in a win-win situation. A dynamic pricing strategy is proposed to minimize the average cost of the MEC system under the constraints on quality of service by adjusting the price constantly based on the current system state. To do so, a cost minimization problem is solved to obtain the optimal dynamic pricing strategy efficiently. Finally, the optimization results are validated with extensive simulations.
| Original language | English |
|---|---|
| Article number | 8486685 |
| Pages (from-to) | 420-423 |
| Journal | IEEE Wireless Communications Letters |
| Volume | 8 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 1 Apr 2019 |
| Externally published | Yes |
Bibliographical note
Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].Research Keywords
- autonomous vehicle
- dynamic pricing strategy
- Markov chain
- Mobile edge computing