Abstract
Vehicular edge computing (VEC) has emerged as a promising paradigm to provide low-latency service by extending the edge computing to vehicular networks. To meet the ever-increasing demands of computation and communication resources, utilizing vehicles as augmented infrastructure for computation offloading is an appealing idea. However, due to the lack of effective incentive and task allocation mechanism, it is challenging to exploit vehicles as infrastructure for computation offloading. To cope with these challenges, we first propose a container-based VEC paradigm by using efficient, flexible and customized resources of the vehicles. Then, we present a contract-based incentive mechanism to motivate vehicles to share their resources with service requesters (SRs). The optimal contract items are designed for multiple types of vehicles while maximizing the expected utilities of the SRs. Numerical results demonstrate that the proposed contract-based incentive mechanism is efficient compared with conventional schemes.
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Acknowledgment
Beihai Tan is the corresponding author of this paper. The work is supported in part by program of NSFC under Grant no. 61971148, the Science and Technology Program of Guangdong Province under Grant no. 2015B010129001, and Natural Science Foundation of Guangxi Province under Grant 2018GXNSFDA281013.
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Wang, S., Huang, X., Tan, B., Yu, R. (2020). A Contract-Based Incentive Mechanism for Resource Sharing and Task Allocation in Container-Based Vehicular Edge Computing. In: Li, B., Zheng, J., Fang, Y., Yang, M., Yan, Z. (eds) IoT as a Service. IoTaaS 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 316. Springer, Cham. https://doi.org/10.1007/978-3-030-44751-9_11
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DOI: https://doi.org/10.1007/978-3-030-44751-9_11
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