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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MDPI AG
2017-11-01
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Series: | Sensors |
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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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institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-04-11T20:55:49Z |
publishDate | 2017-11-01 |
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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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