A Novel 3D Node Deployment Inspired by Dusty Plasma Crystallization in UAV-Assisted Wireless Sensor Network Applications

With the rapid progress of hardware and software, a wireless sensor network has been widely used in many applications in various fields. However, most discussions for the WSN node deployment mainly concentrated on the two-dimensional plane. In such a case, some large scale applications, such as info...

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Autores principales: Rongxin Tang, Yuhao Tao, Jiahao Li, Zhiming Hu, Kai Yuan, Zhiping Wu, Shiyun Liu, Yuhao Wang
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Lenguaje:EN
Publicado: MDPI AG 2021
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spelling oai:doaj.org-article:0c3416dec43a4388aed164779daf48742021-11-25T18:57:34ZA Novel 3D Node Deployment Inspired by Dusty Plasma Crystallization in UAV-Assisted Wireless Sensor Network Applications10.3390/s212275761424-8220https://doaj.org/article/0c3416dec43a4388aed164779daf48742021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/22/7576https://doaj.org/toc/1424-8220With the rapid progress of hardware and software, a wireless sensor network has been widely used in many applications in various fields. However, most discussions for the WSN node deployment mainly concentrated on the two-dimensional plane. In such a case, some large scale applications, such as information detection in deep space or deep sea, will require a good three dimensional (3D) sensor deployment scenario and also attract most scientists’ interests. Excellent deployment algorithms enable sensors to be quickly deployed in designated areas with the help of unmanned aerial vehicles (UAVs). In this paper, for the first time, we present a three dimensional network deployment algorithm inspired by physical dusty plasma crystallization theory in large-scale WSN applications. Four kinds of performance evaluation methods in 3D space, such as the moving distance, the spatial distribution diversion, system coverage rate, and the system utilization are introduced and have been carefully tested.Furthermore, in order to improve the performance of the final deployment, we integrated the system coverage rate and the system utilization to analyze the parameter effects of the Debye length and the node sensing radius. This criterion attempts to find the optimal sensing radius with a fixed Debye length to maximize the sensing range of the sensor network while reducing the system redundancy. The results suggest that our 3D algorithm can quickly complete an overall 3D network deployment and then dynamically adjust parameters to achieve a better distribution. In practical applications, engineers may choose appropriate parameters based on the sensor’s hardware capabilities to achieve a better 3D sensor network deployment. It may be significantly used in some large-scale 3D WSN applications in the near future.Rongxin TangYuhao TaoJiahao LiZhiming HuKai YuanZhiping WuShiyun LiuYuhao WangMDPI AGarticle3D node deploymentwireless sensor networksdusty plasma crystallizationChemical technologyTP1-1185ENSensors, Vol 21, Iss 7576, p 7576 (2021)
institution DOAJ
collection DOAJ
language EN
topic 3D node deployment
wireless sensor networks
dusty plasma crystallization
Chemical technology
TP1-1185
spellingShingle 3D node deployment
wireless sensor networks
dusty plasma crystallization
Chemical technology
TP1-1185
Rongxin Tang
Yuhao Tao
Jiahao Li
Zhiming Hu
Kai Yuan
Zhiping Wu
Shiyun Liu
Yuhao Wang
A Novel 3D Node Deployment Inspired by Dusty Plasma Crystallization in UAV-Assisted Wireless Sensor Network Applications
description With the rapid progress of hardware and software, a wireless sensor network has been widely used in many applications in various fields. However, most discussions for the WSN node deployment mainly concentrated on the two-dimensional plane. In such a case, some large scale applications, such as information detection in deep space or deep sea, will require a good three dimensional (3D) sensor deployment scenario and also attract most scientists’ interests. Excellent deployment algorithms enable sensors to be quickly deployed in designated areas with the help of unmanned aerial vehicles (UAVs). In this paper, for the first time, we present a three dimensional network deployment algorithm inspired by physical dusty plasma crystallization theory in large-scale WSN applications. Four kinds of performance evaluation methods in 3D space, such as the moving distance, the spatial distribution diversion, system coverage rate, and the system utilization are introduced and have been carefully tested.Furthermore, in order to improve the performance of the final deployment, we integrated the system coverage rate and the system utilization to analyze the parameter effects of the Debye length and the node sensing radius. This criterion attempts to find the optimal sensing radius with a fixed Debye length to maximize the sensing range of the sensor network while reducing the system redundancy. The results suggest that our 3D algorithm can quickly complete an overall 3D network deployment and then dynamically adjust parameters to achieve a better distribution. In practical applications, engineers may choose appropriate parameters based on the sensor’s hardware capabilities to achieve a better 3D sensor network deployment. It may be significantly used in some large-scale 3D WSN applications in the near future.
format article
author Rongxin Tang
Yuhao Tao
Jiahao Li
Zhiming Hu
Kai Yuan
Zhiping Wu
Shiyun Liu
Yuhao Wang
author_facet Rongxin Tang
Yuhao Tao
Jiahao Li
Zhiming Hu
Kai Yuan
Zhiping Wu
Shiyun Liu
Yuhao Wang
author_sort Rongxin Tang
title A Novel 3D Node Deployment Inspired by Dusty Plasma Crystallization in UAV-Assisted Wireless Sensor Network Applications
title_short A Novel 3D Node Deployment Inspired by Dusty Plasma Crystallization in UAV-Assisted Wireless Sensor Network Applications
title_full A Novel 3D Node Deployment Inspired by Dusty Plasma Crystallization in UAV-Assisted Wireless Sensor Network Applications
title_fullStr A Novel 3D Node Deployment Inspired by Dusty Plasma Crystallization in UAV-Assisted Wireless Sensor Network Applications
title_full_unstemmed A Novel 3D Node Deployment Inspired by Dusty Plasma Crystallization in UAV-Assisted Wireless Sensor Network Applications
title_sort novel 3d node deployment inspired by dusty plasma crystallization in uav-assisted wireless sensor network applications
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/0c3416dec43a4388aed164779daf4874
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