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Towards Design of an Efficient Sensing Data Acquisition Scheme for UAVs-Assisted Wireless Sensor Networks

Towards Design of an Efficient Sensing Data Acquisition Scheme for UAVs-Assisted Wireless Sensor Networks

Vrajesh Kumar Chawra, Govind P. Gupta
Copyright: © 2022 |Volume: 13 |Issue: 2 |Pages: 27
ISSN: 1947-9263|EISSN: 1947-9271|EISBN13: 9781683181521|DOI: 10.4018/IJSIR.287547
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MLA

Chawra, Vrajesh Kumar, and Govind P. Gupta. "Towards Design of an Efficient Sensing Data Acquisition Scheme for UAVs-Assisted Wireless Sensor Networks." IJSIR vol.13, no.2 2022: pp.1-27. http://doi.org/10.4018/IJSIR.287547

APA

Chawra, V. K. & Gupta, G. P. (2022). Towards Design of an Efficient Sensing Data Acquisition Scheme for UAVs-Assisted Wireless Sensor Networks. International Journal of Swarm Intelligence Research (IJSIR), 13(2), 1-27. http://doi.org/10.4018/IJSIR.287547

Chicago

Chawra, Vrajesh Kumar, and Govind P. Gupta. "Towards Design of an Efficient Sensing Data Acquisition Scheme for UAVs-Assisted Wireless Sensor Networks," International Journal of Swarm Intelligence Research (IJSIR) 13, no.2: 1-27. http://doi.org/10.4018/IJSIR.287547

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Abstract

This paper investigates sensing data acquisition issues from large-scale hazardous environments using UAVs-assisted WSNs. Most of the existing schemes suffer from low scalability, high latency, low throughput, and low service time of the deployed network. To overcome these issues, we considered a clustered WSN architecture in which multiple UAVs are dispatched with assigned path knowledge for sensing data acquisition from each cluster heads (CHs) of the network. This paper first presents a non-cooperative Game Theory (GT)-based CHs selection algorithm and load balanced cluster formation scheme. Next, to provide timely delivery of sensing information using UAVs, hybrid meta-heuristic based optimal path planning algorithm is proposed by combing the best features of Dolphin Echolocation and Crow Search meta-heuristic techniques. In this research work, a novel objective function is formulated for both load-balanced CHs selection and for optimal the path planning problem. Results analyses demonstrate that the proposed scheme significantly performs better than the state-of-art schemes.

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