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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Main Authors: Haejoon Jung, In-Ho Lee
Format: Article
Language:English
Published: MDPI AG 2017-11-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/17/11/2550
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author Haejoon Jung
In-Ho Lee
author_facet Haejoon Jung
In-Ho Lee
author_sort Haejoon Jung
collection DOAJ
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 doaj.art-a0daa08ade7d4db9b10c65186157d3fb2022-12-22T04:03:41ZengMDPI AGSensors1424-82202017-11-011711255010.3390/s17112550s17112550Coverage Probability and Area Spectral Efficiency of Clustered Linear Unmanned Vehicle Sensor NetworksHaejoon Jung0In-Ho Lee1Department of Information and Telecommunication Engineering, Incheon National University, Incheon 22012, KoreaDepartment of Electrical, Electronic and Control Engineering, Hankyong National University, Anseong 17579, KoreaIn 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.https://www.mdpi.com/1424-8220/17/11/2550linear sensor networksunmanned vehiclecluster processcoveragespectral efficiency
spellingShingle Haejoon Jung
In-Ho Lee
Coverage Probability and Area Spectral Efficiency of Clustered Linear Unmanned Vehicle Sensor Networks
Sensors
linear sensor networks
unmanned vehicle
cluster process
coverage
spectral efficiency
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 linear sensor networks
unmanned vehicle
cluster process
coverage
spectral efficiency
url https://www.mdpi.com/1424-8220/17/11/2550
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AT inholee coverageprobabilityandareaspectralefficiencyofclusteredlinearunmannedvehiclesensornetworks