Work

Prediction of the Power of Low-Power Networks Using Inertial Sensors

Year: 2025

Type: article

Source: IEEE Transactions on Instrumentation and Measurement

DOI: 10.1109/tim.2025.3596984

Authors: Waltenegus Dargie, Christian Poellabauer, Abiy Tasissa

Institutions: Technische Universität Dresden, Florida International University, Tufts University

Language: English

Topic: IoT Networks and Protocols

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: National Science Foundation, Deutsche Forschungsgemeinschaft

Awards: Collaborative Research: Nonconvex Models for Structured Sensing: Theory, Algorithms, and Applications, G862989951

OpenAlex ID: W4413120767

FWCI: 0.683

Cites: 32

Cited by: 3

Related to: 10