Incentive Mechanism Design for Computation Offloading in Heterogeneous Fog Computing: A Contract-Based Approach

By Ming Zeng, Yong Li, M. Waqas, Depeng Jin. 2018

54 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Zehui Xiong
2. Ying-Chang Liang
3. Dong In Kim
4. Dusist Niyato
5. Jiawen Kang
6. Han Yu
7. Junshan Zhang
8. Rui Zhang

In Information Systems

1. Dusist Niyato
2. Zehui Xiong
3. Jiawen Kang
4. Dong In Kim
5. Ying-Chang Liang
6. Han Yu

Citations in the corpus

• Incentive Design for Efficient Federated Learning in Mobile Networks: A Contract Theory Approach (2019, methodology): “The task publisher obtains the distribution of data owner types from previous observations [14].”
• Toward Secure Blockchain-Enabled Internet of Vehicles: Optimizing Consensus Management Using Reputation and Contract Theory (2018, methodology): “aforementioned steps is defined as follows [26]:”
• Incentive Mechanism for Reliable Federated Learning: A Joint Optimization Approach to Combining Reputation and Contract Theory (2019, background): “Therefore, contract theory as an efficient and powerful incentive mechanism is employed in this section [9], [25]–[27].”
• All One Needs to Know about Fog Computing and Related Edge Computing Paradigms: A Complete Survey (2018, unknown): “and Estimation [23, 76, 113, 117, 119, 121, 211, 216, 221–230]”