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cs.NI2026

A lightweight Outlier Detection for Characterizing Radio- and Environment-Specific Link Quality Fluctuation in Low-Power Wireless Networks

Zegeye Mekasha Kidane, Waltenegus Dargie

The performance of low-power wireless sensing networks can be influenced by both external environmental factors and internal imperfections which often arise due to manufacturing to…

cs.NI2025

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

Waltenegus Dargie, Christian Poellabauer, Abiy Tasissa

Low-power and cost-effective IoT sensing nodes enable scalable monitoring of different environments. Some of these environments impose rough and extreme operating conditions, requi…

cs.NI2025

Impact of Cross Technology Interference on Time Synchronization and Join Time in Low-Power Wireless Networks

Zegeye Mekasha Kidane, Waltenegus Dargie

Low-power and low-cost wireless sensor networks enable scalable and affordable sensing and can be deployed in different environments to monitor various physical parameters. In some…

cs.NI2025

Prediction of Received Power in Low-Power and Lossy Networks Deployed in Rough Environments

Waltenegus Dargie

Cost-efficient and low-power sensing nodes enable to monitor various physical environments. Some of these impose extreme operating conditions, subjecting the nodes to excessive hea…

cs.NI2025

Cross-Technology Interference: Detection, Avoidance, and Coexistence Mechanisms in the ISM Bands

Zegeye Mekasha Kidane, Waltenegus Dargie

A large number of heterogeneous wireless networks share the unlicensed spectrum designated as the ISM (Industry, Scientific, and Medicine) radio band. These networks do not adhere…