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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
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Related Experiment Video

Updated: Mar 19, 2026

Façade-Level Monitoring of CO2 Variability under Urban Heat Island Conditions using Low-Cost Sensor Data Loggers
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Energy Efficient IoT Data Collection in Smart Cities Exploiting D2D Communications.

Antonino Orsino1, Giuseppe Araniti2, Leonardo Militano3

  • 1DIIES Department, University Mediterranea of Reggio Calabria, Reggio Calabria 89100, Italy. antonino.orsino@unirc.it.

Sensors (Basel, Switzerland)
|June 25, 2016
PubMed
Summary

Fifth Generation (5G) wireless systems and Long Term Evolution-Advanced (LTE-A) enable the Internet of Things (IoT). Network-assisted Device-to-Device (D2D) communication optimizes radio resources and reduces energy consumption for smart environments.

Keywords:
Device-to-Device communicationsLTE-Ainternet of thingspower controlsmall data transmissionsmart city

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Area of Science:

  • Wireless Communication Systems
  • Internet of Things (IoT)
  • Smart City Technologies

Background:

  • Fifth Generation (5G) wireless systems and LTE-Advanced (LTE-A) are crucial for the Internet of Things (IoT).
  • Existing LTE-A infrastructure is not optimized for small data packets typical of IoT applications.
  • High energy consumption in cellular communications hinders large-scale IoT deployments in Smart Cities.

Purpose of the Study:

  • To propose novel solutions for efficient radio resource utilization in LTE-A based IoT networks.
  • To reduce energy consumption for IoT devices in Smart City scenarios.
  • To investigate the effectiveness of network-assisted Device-to-Device (D2D) communications for IoT data collection.

Main Methods:

  • Implementing a D2D-based data collection approach where one IoT device acts as a data aggregator.
  • Adapting the Modulation and Coding Scheme (MCS) dynamically based on data volume.
  • Evaluating performance through comprehensive simulations across various scenarios.

Main Results:

  • Demonstrated maximization of radio resource utilization by adapting MCS.
  • Showcased potential for reduced transmission power with robust MCS selection.
  • Quantified significant gains in energy efficiency and resource utilization.

Conclusions:

  • Network-assisted D2D communication is a viable solution for efficient IoT data collection.
  • Dynamic MCS adaptation is key to optimizing resource usage and energy consumption in 5G IoT.
  • The proposed approach offers substantial improvements for Smart City IoT deployments.