Work

Cross-Technology Federated Matching for Age of Information Minimization in Heterogeneous IoT

Year: 2024

Type: article

Source: IEEE/ACM Transactions on Networking

DOI: 10.1109/tnet.2024.3436712

Authors: Haitham H. Esmat, Xiaohao Xia, Yinxuan Wu, Beatriz Lorenzo, Linke Guo

Institutions: University of Massachusetts Amherst, Clemson University

Language: English

Topic: Age of Information Optimization

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: National Science Foundation

Awards: Collaborative Research: SHF: Medium: Towards Harmonious Federated Intelligence in Heterogeneous Edge Computing via Data Migration, Collaborative Research: CNS Core: Small: Scalable, Flexible, and Dependable Architecture Design for Heterogeneous Internet of Things, Collaborative Research: CNS Core: Small: Scalable, Flexible, and Dependable Architecture Design for Heterogeneous Internet of Things

OpenAlex ID: W4402350426

FWCI: 1.177

Cites: 31

Cited by: 7

Related to: 10