JOURNAL ARTICLE

Optimizing UAV-assisted IoT sensor networks: A multi-objective approach to data collection and routing

Abstract

Unmanned Aerial Vehicles (UAVs) are powerful tools for data gathering in IoT sensor networks, enhancing efficiency in challenging environments. This research proposes an optimized UAV deployment and data routing approach, addressing energy use, coverage, and communication delays. The study guarantees comprehensive coverage and effective data management by employing sophisticated optimisation methodologies. The solution achieves significant energy savings, reduced latency, and improved performance, offering a robust framework for large-scale IoT applications like agriculture, disaster response, and environmental monitoring.

Keywords:
Internet of Things Computer science Data collection Routing (electronic design automation) Wireless sensor network Computer network Real-time computing Embedded system Mathematics

Metrics

7
Cited By
9.23
FWCI (Field Weighted Citation Impact)
40
Refs
0.96
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

UAV Applications and Optimization
Physical Sciences →  Engineering →  Aerospace Engineering
Distributed Control Multi-Agent Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
Energy Efficient Wireless Sensor Networks
Physical Sciences →  Computer Science →  Computer Networks and Communications

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