Work

Distributed Task Selection for Crowdsensing: A Game-Theoretical Approach

Year: 2024

Type: article

Source: IEEE Transactions on Mobile Computing

DOI: 10.1109/tmc.2024.3449039

Authors: En Wang, Dongming Luan, Yuanbo Xu, Yongjian Yang, Jie Wu

Institutions: Jilin University, Temple University

Language: English

Topic: Mobile Crowdsensing and Crowdsourcing

Subfield: Computer Science Applications

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Science Foundation, National Natural Science Foundation of China

Awards: SpecEES: Collaborative Research: Study of the Tradeoff between Spectrum Allocation Efficiency and Operation Privacy in Dynamic Spectrum Access Systems, REU Site: Research Experiences in Pervasive Computing for Smart Health, Safety, and Well-being, MRI: Development of an Information Assurance and Performance Infrastructure for the Internet of Things, NeTS: Medium: Collaborative Research: Coexistence of Heterogeneous Wireless Access Technologies in the 5 GHz Bands, G64583293, G6688326427, CAREER: Theory and Algorithms for Efficient Control of Wireless Networks with Jointly Optimized Performance: High Throughput, Low Delay, and Low Complexity, G7951619774

OpenAlex ID: W4402039941

FWCI: 2.709

Cites: 40

Cited by: 7

Related to: 10