Enhancing Wireless Sensor Network Data Collection through Aerial Unmanned Vehicles

This study addresses the critical aspect of data collection within Wireless Sensor Networks (WSNs), which consist of autonomous, compact sensor devices deployed to monitor environmental conditions. These networks have limited processing capacity, storage, short-range communication capabilities, and constrained battery power. A primary challenge in WSN s revolves around data gathering, particularly when employing static sinks, leading to premature energy depletion in nodes near these sinks. Integrating mobile collectors introduces the potential for energy conservation by shortening data routes. This article introduces three distinct algorithms for optimizing data collection in WSN s. Our approach involves an in-depth analysis of diverse strategies to mitigate packet collisions and facilitate the retransmission of lost packets. Our findings underscore the considerable impact that packet collisions can exert on the overall network performance during data gathering within wireless sensor networks. Through empirical exploration and analysis, we highlight the significance of these algorithms in enhancing the efficiency, energy conservation, and reliability of data collection processes within WSNs. This research sheds light on these algorithms' vital role in addressing the pressing challenges of data gathering and network performance optimization in wireless sensor networks.

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Publication Details

Published
2024-12-11
DOI
https://doi.org/10.1109/dasa63652.2024.10836384
Citations
2
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
2.60
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article

Enhancing Wireless Sensor Network Data Collection through Aerial Unmanned Vehicles

Amjed Abbas Ahmed, Salah A. Aliesawi, Nurhizam Safie Mohd Satar, Khattab M. Ali Alheeti et al.
2 citations
UAV Applications and Optimization
2.60
article

Enhancing Wireless Sensor Network Data Collection through Aerial Unmanned Vehicles

Amjed Abbas Ahmed, Salah A. Aliesawi, Nurhizam Safie Mohd Satar, Khattab M. Ali Alheeti, Aisha Hassan Abdallah Hashim, Ali Hamza Najim
article en
2 citations

Abstract

This study addresses the critical aspect of data collection within Wireless Sensor Networks (WSNs), which consist of autonomous, compact sensor devices deployed to monitor environmental conditions. These networks have limited processing capacity, storage, short-range communication capabilities, and constrained battery power. A primary challenge in WSN s revolves around data gathering, particularly when employing static sinks, leading to premature energy depletion in nodes near these sinks. Integrating mobile collectors introduces the potential for energy conservation by shortening data routes. This article introduces three distinct algorithms for optimizing data collection in WSN s. Our approach involves an in-depth analysis of diverse strategies to mitigate packet collisions and facilitate the retransmission of lost packets. Our findings underscore the considerable impact that packet collisions can exert on the overall network performance during data gathering within wireless sensor networks. Through empirical exploration and analysis, we highlight the significance of these algorithms in enhancing the efficiency, energy conservation, and reliability of data collection processes within WSNs. This research sheds light on these algorithms' vital role in addressing the pressing challenges of data gathering and network performance optimization in wireless sensor networks.

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 7%
UAV Applications and Optimization
2.60
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Enhancing Wireless Sensor Network Data Collection through Aerial Unmanned Vehicles — Amjed Abbas Ahmed, Salah A. Aliesawi, et al. · (2024) | TGRS Research Map | TGRS