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 |Pages: 27
DOI: 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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1. Introduction

Recent advancement in Unmanned Aerial Vehicle (UAV) technologies and its availability for civilian applications motivates various researchers to employ it for remote sensing data collection tasks from Wireless Sensor Sensors (WSNs) (Zeng & Zhang,2016; Hayat,2016; Gupta&Jain,2015) and known as UAVs-assisted WSNs. In UAVs-assisted WSNs, a set of UAVs are dispatched from the Base Station (BS) for sensing data acquisition form the sensor nodes (SNs) that are deployed over harsh ground topography such mountains, farms, dense forest, disaster areas, etc. Use of UAVs with WSNs provides various advantages (Messous & Sedjelmaci,2017;Dong,2014) such as reduction of communication traffic burden on network infrastructure, improvement in communication coverage with all ground SNs, independent of its ground geographical position due to easy and flexible mobility of the UAVs, speed-up in the data gathering and dissemination process, saving of the valuable energy recourses of the SNs, easily extraction of information from remote and harsh area and enhancement of network lifetime etc. (Dong,2014; Zhan & Zeng,2017). Thus, UAV-assisted WSN will be very helpful in various applications such as monitoring and tracking tasks at border areas and agriculture fields, rescue and disaster monitoring, ocean monitoring and tracking, and different smart cities applications etc. (Messous & Sedjelmaci,2017; Dong,2014; Zhan & Zeng,2017).

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