Abstract: Energy optimization is a critical challenge in wireless sensor networks (WSNs) due to its direct impact on the network lifetime. This paper proposes the use of the K-means algorithm combined ...
Abstract: This paper introduces CHARM, a channel-aware simulator designed to evaluate adaptive routing and interference management in Wireless Sensor Networks (WSNs). The simulator supports ...
AZoSensors on MSN

Urban groundwater monitoring

A new approach integrates machine learning and mobility to extend the life of wireless groundwater sensors, improving energy efficiency in urban monitoring.
Feasibility study for locating a moving device indoors using only existing radios (Wi‑Fi and BLE)—no extra hardware like dedicated receivers or UWB anchors. The goal is to see whether sub‑50 cm ...
MWC 2024 reveals AI-powered wireless advances as Nokia, Intel, and NTT forge partnerships for next-gen network infrastructure.
DOCOMO i NTT demostren l’anàlisi de vídeo amb IA de baixa latència mitjançant computació a la xarxa amb recursos de GPU remots… would be the headline, if we stayed true to local parlance and ran the ...
U.S. Space Force Chief of Space Operations Gen. Chance Saltzman described Ringleader as a collaborative effort between the two services to put in “reps and sets” in a modeling and simulation ...
The simulator can be customized through two main configuration files: src/sim_params.py controls low-level simulation parameters, including inter-frame space durations, contention window limits, ...
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