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Optimal Base Station Placement for Wireless Sensor Networks with Successive Interference Cancellation

We consider the base station placement problem for wireless sensor networks with successive interference cancellation (SIC) to improve throughput. We build a mathematical model for SIC. Although this model cannot be solved directly, it enables us to identify a necessary condition for SIC on distance...

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Detalles Bibliográficos
Autores principales: Shi, Lei, Zhang, Jianjun, Shi, Yi, Ding, Xu, Wei, Zhenchun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4327097/
https://www.ncbi.nlm.nih.gov/pubmed/25594600
http://dx.doi.org/10.3390/s150101676
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author Shi, Lei
Zhang, Jianjun
Shi, Yi
Ding, Xu
Wei, Zhenchun
author_facet Shi, Lei
Zhang, Jianjun
Shi, Yi
Ding, Xu
Wei, Zhenchun
author_sort Shi, Lei
collection PubMed
description We consider the base station placement problem for wireless sensor networks with successive interference cancellation (SIC) to improve throughput. We build a mathematical model for SIC. Although this model cannot be solved directly, it enables us to identify a necessary condition for SIC on distances from sensor nodes to the base station. Based on this relationship, we propose to divide the feasible region of the base station into small pieces and choose a point within each piece for base station placement. The point with the largest throughput is identified as the solution. The complexity of this algorithm is polynomial. Simulation results show that this algorithm can achieve about 25% improvement compared with the case that the base station is placed at the center of the network coverage area when using SIC.
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spelling pubmed-43270972015-02-23 Optimal Base Station Placement for Wireless Sensor Networks with Successive Interference Cancellation Shi, Lei Zhang, Jianjun Shi, Yi Ding, Xu Wei, Zhenchun Sensors (Basel) Article We consider the base station placement problem for wireless sensor networks with successive interference cancellation (SIC) to improve throughput. We build a mathematical model for SIC. Although this model cannot be solved directly, it enables us to identify a necessary condition for SIC on distances from sensor nodes to the base station. Based on this relationship, we propose to divide the feasible region of the base station into small pieces and choose a point within each piece for base station placement. The point with the largest throughput is identified as the solution. The complexity of this algorithm is polynomial. Simulation results show that this algorithm can achieve about 25% improvement compared with the case that the base station is placed at the center of the network coverage area when using SIC. MDPI 2015-01-14 /pmc/articles/PMC4327097/ /pubmed/25594600 http://dx.doi.org/10.3390/s150101676 Text en © 2015 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 license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Shi, Lei
Zhang, Jianjun
Shi, Yi
Ding, Xu
Wei, Zhenchun
Optimal Base Station Placement for Wireless Sensor Networks with Successive Interference Cancellation
title Optimal Base Station Placement for Wireless Sensor Networks with Successive Interference Cancellation
title_full Optimal Base Station Placement for Wireless Sensor Networks with Successive Interference Cancellation
title_fullStr Optimal Base Station Placement for Wireless Sensor Networks with Successive Interference Cancellation
title_full_unstemmed Optimal Base Station Placement for Wireless Sensor Networks with Successive Interference Cancellation
title_short Optimal Base Station Placement for Wireless Sensor Networks with Successive Interference Cancellation
title_sort optimal base station placement for wireless sensor networks with successive interference cancellation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4327097/
https://www.ncbi.nlm.nih.gov/pubmed/25594600
http://dx.doi.org/10.3390/s150101676
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