HIGHLIGHTS
- who: Difei Yi and colleagues from the School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China have published the paper: Task Offloading in Wireless Powered Mobile Crowd Sensing: A Matching-Based Approach, in the Journal: Electronics 2022, 11, 2377. of /2022/
- what: Since the problem is NP-hard and the utility of each task owner changes dynamically with the task-MN associations, the authors propose a matching-based algorithm based on to solve the system utility optimization problem.
SUMMARY
The typical system architecture of crowd sensing includes three parts . . .
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