Novel Energy-Efficient Clustering with NOMA in WSNs

Versione 1.0.0 (2,12 KB) da Vasim babu M
NOMA + Adaptive Cluster Head (CH) rotation + Residual Energy Aware Scheduling (REAS).
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Aggiornato 2 set 2025

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NOMA + Adaptive Cluster Head (CH) rotation + Residual Energy Aware Scheduling (REAS).
  • NOMA Integration: Cluster members transmit simultaneously on the same resource using different power levels (strong users assigned less power, weak users assigned more).
  • Adaptive CH Rotation: Instead of fixed periodic CH changes (as in LEACH), CHs are re-elected based on residual energy and node degree (neighbors count).
  • REAS: Cluster members are scheduled dynamically to avoid draining low-energy nodes, i.e., users with low residual energy get lower transmission duty cycle.
Residual Energy Aware Scheduling (REAS) - weak nodes transmit less often, extending their lifetime.
Adaptive CH rotation - balances energy among nodes.
Degree + Energy based CH selection - avoids isolated CHs.
NOMA-based intra-cluster communication - efficient bandwidth usage.

Cita come

Vasim babu M (2025). Novel Energy-Efficient Clustering with NOMA in WSNs (https://it.mathworks.com/matlabcentral/fileexchange/181929-novel-energy-efficient-clustering-with-noma-in-wsns), MATLAB Central File Exchange. Recuperato .

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Creato con R2025a
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Versione Pubblicato Note della release
1.0.0