Minimum-Cost Edge-Server Location Strategy in Mobile Crowdsensing

Author:

Luan Dongming,Wang EnORCID,Liu WenbinORCID,Yang YongjianORCID,Wu JieORCID

Funder

National Natural Science Foundations of China

Natural Science Foundations of Jilin Province

National Science Key Lab Fund Project

Innovation Capacity Building Project of Jilin Province Development and Reform Commission

Changchun Science and Technology Development Project

Key Laboratory of Defense Science and Technology Foundations

Jilin Province Young Talents Lifting Project

NSF

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Achieving Efficient and Secure Task Allocation Scheme in Mobile Crowd Sensing;2023 IEEE 10th International Conference on Cyber Security and Cloud Computing (CSCloud)/2023 IEEE 9th International Conference on Edge Computing and Scalable Cloud (EdgeCom);2023-07

2. Data collection of multi-player cooperative game based on edge computing in mobile crowd sensing;Computer Networks;2023-02

3. Clustering Ant Colony-Based Edge-Server Location Strategy in Mobile Crowdsensing;Applied Computational Intelligence and Soft Computing;2022-12-29

4. Latency-Aware Task Scheduling for IoT Applications Based on Artificial Intelligence with Partitioning in Small-Scale Fog Computing Environments;Sensors;2022-09-27

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