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Energy efficient UAV enabled harvesting with beamforming for clustered SDWSN

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Abstract

Software defined wireless sensor networks (SDWSN) has emerged to addresses the energy constraint challenges in the WSN. The sensor nodes with limited energy in the SDWSN reduces the lifetime of the network. To prolong the lifetime of the SDWSN, the energy efficient harvesting scheme using unmanned aerial vehicle (UAV) with multiple input single output beamforming in the clustered network is proposed. The mobility of the UAV in the clustered network harvest energy to the energy depleted nodes and the beamforming algorithm directionally transmits the energy increases the lifetime of the SDWSN. The data collection (DC) node is selected based on an artificial fish swarm optimization algorithm with coverage, distance and energy constraints for harvesting energy and transferring data to the UAV in the network. The optimal path planning of the UAV by visiting the DC node for harvest energy reduces the energy consumption of the UAV in the network. The priority based scheduling algorithm for harvesting energy and data collection increases the lifetime of the clustered SDWSN. The optimization problem is formulated with signal to noise ratio, time, transmit power and delay constraints to increase the harvested energy for sensor nodes in the network. The simulation results show the enhanced performance of the proposed algorithm compared to the existing algorithm in terms of average residual energy, end to end delay, average travel distance, average charging delay and throughput.

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  1. Department of ECE, Anna University, Chennai, India

    S. Subaselvi & K. Gunaseelan

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  1. S. Subaselvi
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  2. K. Gunaseelan
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Correspondence to S. Subaselvi.

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Subaselvi, S., Gunaseelan, K. Energy efficient UAV enabled harvesting with beamforming for clustered SDWSN. Computing 104, 2077–2100 (2022). https://doi.org/10.1007/s00607-022-01087-0

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