Efficient Sensors Deployment and Reliable Data Collection using PSO-based Dynamic Clustering Approach in UAV-Assisted LoRaWAN
| International Journal of Electronics and Communication Engineering |
| © 2025 by SSRG - IJECE Journal |
| Volume 12 Issue 1 |
| Year of Publication : 2025 |
| Authors : J. Vijaya Barathy, K. Kamali |
10.14445/23488549/IJECE-V12I1P116
How to Cite?
J. Vijaya Barathy, K. Kamali, "Efficient Sensors Deployment and Reliable Data Collection using PSO-based Dynamic Clustering Approach in UAV-Assisted LoRaWAN," SSRG International Journal of Electronics and Communication Engineering, vol. 12, no. 1, pp. 202-215, 2025. Crossref, https://doi.org/10.14445/23488549/IJECE-V12I1P116
Abstract:
In recent times, utilizing Unmanned Aerial Vehicles (UAVs) has proven to be an effective method for gathering data for environmental monitoring in inaccessible locations lacking infrastructure. This has resulted in numerous valuable studies being conducted in this area. However, collecting data from sensor nodes using UAVs has posed a challenge due to the potential impact on the UAV’s communication and flight time. Mainly to improve the deployment and data collection efficiency of the sensors in this article, Efficient Sensors Deployment and Reliable Data Collection using PSO-based Dynamic Clustering Approach (ESRD-PDCA) is developed in the UAV-assisted LoRaWAN-based network. The two main categories of the proposed ESRD-PDCA are UAV network construction, efficient sensor deployment, LoRaWAN routing protocol, and Particle Swarm Optimization (PSO) based dynamic clustering approach. With the presence of these processes, the network’s overall quality and reliability are improved, leading to efficient communication among the sensors. The implementation of the proposed UAV-assisted LoRaWAN is constructed using the software NS2. The parameters that are calculated for the performance analysis of the proposed approach are data completion time, energy efficiency, and reliability.
Keywords:
Unmanned Aerial Vehicles (UAVs), Efficient Sensors Deployment, Reliable data collection, Particle Swarm Optimization (PSO), Dynamic clustering approach, LoRaWAN based network.
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