A Resilient and Energy-Efficient Smart Metering Infrastructure Utilizing a Self-Organizing UAV Swarm
Mustafa Siham, Qutaiba I. Ali

TL;DR
This paper introduces a resilient, energy-efficient smart metering system using a self-organizing UAV swarm for autonomous, scalable data collection, enhancing safety and reducing costs in smart city energy management.
Contribution
It presents a novel UAV swarm architecture for autonomous smart meter data collection, including protocols, failure handling, and energy management strategies.
Findings
Simulations show reliable formation maintenance during flight.
Efficient data collection from smart meters demonstrated.
Battery sizing strategy extends operational lifetime.
Abstract
The smart metering infrastructure may become one of the key elements in efficiently managing energy in smart cities. At the same time, traditional measurement record collection is performed by manual methods, which raises cost, safety, and accuracy issues. This paper proposes an innovative SMI architecture based on an unmanned aerial vehicle swarm organizing itself for the autonomous data collection in smart metering infrastructure with scalability and cost-effectiveness while minimizing risks. We design an architecture-based comprehensive system with various phases of operation, communication protocols, and robust failure-handling mechanisms to ensure reliable operations. We further perform extensive simulations in maintenance of precise formations during flight, efficient data collection from smart meters, and adaptation to various failure scenarios. Importantly, we analyze the energy…
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Taxonomy
TopicsUAV Applications and Optimization · Smart Grid Security and Resilience
