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Coverage Probability and Area Spectral Efficiency of Clustered Linear Unmanned Vehicle Sensor Networks

In this paper, we consider clustered unmanned vehicle (UV) sensor networks for swarm sensing applications in a linear structure such as highway, tunnel, underwater pipelines, power lines, and international border. We assume that the linear UV sensor networks follow Thomas cluster process (TCP), in w...

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Detalles Bibliográficos
Autores principales: Jung, Haejoon, Lee, In-Ho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5712862/
https://www.ncbi.nlm.nih.gov/pubmed/29113081
http://dx.doi.org/10.3390/s17112550
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author Jung, Haejoon
Lee, In-Ho
author_facet Jung, Haejoon
Lee, In-Ho
author_sort Jung, Haejoon
collection PubMed
description In this paper, we consider clustered unmanned vehicle (UV) sensor networks for swarm sensing applications in a linear structure such as highway, tunnel, underwater pipelines, power lines, and international border. We assume that the linear UV sensor networks follow Thomas cluster process (TCP), in which the cluster locations are modelled by Poisson point process (PPP), while the cluster members (UVs) are normally distributed around their cluster centers. We focus on communications between UVs within a cluster such as local sensing data transfer or swarm coordination, where multiple UV pairs can share the same frequency band simultaneously. Thus, in the presence of co-channel interference both from the same cluster and the other clusters, we study the coverage and area spectral efficiency of the clustered UV sensor networks in a linear topology.
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spelling pubmed-57128622017-12-07 Coverage Probability and Area Spectral Efficiency of Clustered Linear Unmanned Vehicle Sensor Networks Jung, Haejoon Lee, In-Ho Sensors (Basel) Article In this paper, we consider clustered unmanned vehicle (UV) sensor networks for swarm sensing applications in a linear structure such as highway, tunnel, underwater pipelines, power lines, and international border. We assume that the linear UV sensor networks follow Thomas cluster process (TCP), in which the cluster locations are modelled by Poisson point process (PPP), while the cluster members (UVs) are normally distributed around their cluster centers. We focus on communications between UVs within a cluster such as local sensing data transfer or swarm coordination, where multiple UV pairs can share the same frequency band simultaneously. Thus, in the presence of co-channel interference both from the same cluster and the other clusters, we study the coverage and area spectral efficiency of the clustered UV sensor networks in a linear topology. MDPI 2017-11-05 /pmc/articles/PMC5712862/ /pubmed/29113081 http://dx.doi.org/10.3390/s17112550 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Jung, Haejoon
Lee, In-Ho
Coverage Probability and Area Spectral Efficiency of Clustered Linear Unmanned Vehicle Sensor Networks
title Coverage Probability and Area Spectral Efficiency of Clustered Linear Unmanned Vehicle Sensor Networks
title_full Coverage Probability and Area Spectral Efficiency of Clustered Linear Unmanned Vehicle Sensor Networks
title_fullStr Coverage Probability and Area Spectral Efficiency of Clustered Linear Unmanned Vehicle Sensor Networks
title_full_unstemmed Coverage Probability and Area Spectral Efficiency of Clustered Linear Unmanned Vehicle Sensor Networks
title_short Coverage Probability and Area Spectral Efficiency of Clustered Linear Unmanned Vehicle Sensor Networks
title_sort coverage probability and area spectral efficiency of clustered linear unmanned vehicle sensor networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5712862/
https://www.ncbi.nlm.nih.gov/pubmed/29113081
http://dx.doi.org/10.3390/s17112550
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