Multiobjective Optimization for Computation Offloading in Fog Computing

By Liqing Liu, Zheng Chang, Xijuan Guo, Shiwen Mao, Tapani Ristaniemi. IEEE Internet of Things Journal, 2018

430 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems

View Paper: https://www.semanticscholar.org/paper/08b62293bc2dc4bcf8ff2fc13d65c9d43aa043ac

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. Liangzhi Li
2. Rose Qingyang Hu
3. Kaoru Ota
4. Mianxiong Dong
5. Mohammad Shikh-Bahaei
6. Cunhua Pan
7. Yi Qian
8. Kezhi Wang

In Electrical and Electronic Engineering

1. Cunhua Pan
2. Kezhi Wang
3. Rose Qingyang Hu
4. Mohammad Shikh-Bahaei
5. Kaoru Ota
6. Yi Qian
7. Mianxiong Dong
8. Zhaohui Yang

In Information Systems

1. Mohammad Shikh-Bahaei
2. Kaoru Ota
3. Mianxiong Dong
4. Zhaohui Yang
5. Liangzhi Li

Citations in the corpus

• Deep Learning for Smart Industry: Efficient Manufacture Inspection System With Fog Computing (2018, background): “However, reducing energy consumption may lead to a larger execution delay [23].”
• Computation Rate Maximization in UAV-Enabled Wireless-Powered Mobile-Edge Computing Systems (2018, methodology): “[9] studied the fairness and multi-objective optimization problem in MEC networks.”
• Energy Efficient Resource Allocation in UAV-Enabled Mobile Edge Computing Networks (2019, background): “In partial computation offloading, the computation tasks can be divided into two parts, where one part is locally executed and the other part is offloaded to MEC servers [29]–[34].”