Evolutionary Cost Analysis and Computational Intelligence for Energy Efficiency in Internet of Things-Enabled Smart Cities: Multi-Sensor Data Fusion and Resilience to Link and Device Failures

Evolutionary Cost Analysis and Computational Intelligence for Energy Efficiency in Internet of Things-Enabled Smart Cities: Multi-Sensor Data Fusion and Resilience to Link and Device Failures

This work presents an innovative, energy-efficient IoT routing protocol that combines advanced data fusion grouping and routing strategies to effectively tackle the challenges of data management in smart cities. Our protocol employs hierarchical Data Fusion Head (DFH), relay DFHs, and marine predato...

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Bibliographic Details
Main Authors: Khalid A. Darabkh, Muna Al-Akhras
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Smart Cities
Subjects:
IoT
data fusion
optimization algorithm
MPA
routing
scheduling
Online Access:https://www.mdpi.com/2624-6511/8/2/64
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