Efficient UAV Routing Strategies for Wireless Sensor Network Data Retrieval

WSNs are applied in many disciplines where certain conditions require the ability to adapt to network sink mobility and changes in the dynamics of the area coverage. To meet these needs, it is necessary to develop integrated systems where the “‘terrestrial’ systems and the Unmanned Aerial Vehicles (UAVs)” collect data from sensors efficiently. Planning of UAV trajectories is another challenging issue if many WSN nodes are randomly deployed. This challenge has a big impact on the overall effectiveness of the system. This paper presents a novel approach for reducing the traveled distance of unscrewed aerial vehicles (UAVs) to improve the data collection efficiency in WSNs with poor node density. Yet the method that has been developed is aimed at increasing “the efficiency and efficacy of data collection… with the assistance of Unmanned Aerial Vehicles (UAVs)” which means this work reveals practical application solutions.

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Publication Details

Published
2024-12-11
DOI
https://doi.org/10.1109/dasa63652.2024.10836526
Citations
3
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
3.90
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article

Efficient UAV Routing Strategies for Wireless Sensor Network Data Retrieval

Amjed Abbas Ahmed, Nurhizam Safie Mohd Satar, Khattab M. Ali Alheeti, Kareem Ali Malalah Al-sharhanee et al.
3 citations
UAV Applications and Optimization
3.90
article

Efficient UAV Routing Strategies for Wireless Sensor Network Data Retrieval

Amjed Abbas Ahmed, Nurhizam Safie Mohd Satar, Khattab M. Ali Alheeti, Kareem Ali Malalah Al-sharhanee, Aisha Hassan Abdallah Hashim, Ali Hamza Najim
article en
3 citations

Abstract

WSNs are applied in many disciplines where certain conditions require the ability to adapt to network sink mobility and changes in the dynamics of the area coverage. To meet these needs, it is necessary to develop integrated systems where the “‘terrestrial’ systems and the Unmanned Aerial Vehicles (UAVs)” collect data from sensors efficiently. Planning of UAV trajectories is another challenging issue if many WSN nodes are randomly deployed. This challenge has a big impact on the overall effectiveness of the system. This paper presents a novel approach for reducing the traveled distance of unscrewed aerial vehicles (UAVs) to improve the data collection efficiency in WSNs with poor node density. Yet the method that has been developed is aimed at increasing “the efficiency and efficacy of data collection… with the assistance of Unmanned Aerial Vehicles (UAVs)” which means this work reveals practical application solutions.

University of Anbar (IQ), Alsalam University College (IQ), International Islamic University Malaysia (MY), National University of Malaysia (MY)
Affordable and clean energy
Openalex Percentile: Top 6%
UAV Applications and Optimization
3.90
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