Dynamic Pricing Strategy for Vehicle Assisted Mobile Edge Computing Systems

被引：53

作者：

Han, Di ^{[1
]}

Chen, Wei ^{[1
]}

Fang, Yuguang ^{[2
]}

机构：

[1] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China

[2] Univ Florida, Dept Elect & Comp Engn, Gainesville, FL 32611 USA

来源：

IEEE WIRELESS COMMUNICATIONS LETTERS | 2019年 / 8卷 / 02期

基金：

美国国家科学基金会;

关键词：

Mobile edge computing; dynamic pricing strategy; autonomous vehicle; Markov chain;

D O I：

10.1109/LWC.2018.2874635

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：420 / 423

页数：4

共 11 条

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