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An Optimized Handover Scheme with Movement Trend Awareness for Body Sensor Networks

When a body sensor network (BSN) that is linked to the backbone via a wireless network interface moves from one coverage zone to another, a handover is required to maintain network connectivity. This paper presents an optimized handover scheme with movement trend awareness for BSNs. The proposed sch...

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Detalles Bibliográficos
Autores principales: Sun, Wen, Zhang, Zhiqiang, Ji, Lianying, Wong, Wai-Choong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3715262/
https://www.ncbi.nlm.nih.gov/pubmed/23736852
http://dx.doi.org/10.3390/s130607308
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author Sun, Wen
Zhang, Zhiqiang
Ji, Lianying
Wong, Wai-Choong
author_facet Sun, Wen
Zhang, Zhiqiang
Ji, Lianying
Wong, Wai-Choong
author_sort Sun, Wen
collection PubMed
description When a body sensor network (BSN) that is linked to the backbone via a wireless network interface moves from one coverage zone to another, a handover is required to maintain network connectivity. This paper presents an optimized handover scheme with movement trend awareness for BSNs. The proposed scheme predicts the future position of a BSN user using the movement trend extracted from the historical position, and adjusts the handover decision accordingly. Handover initiation time is optimized when the unnecessary handover rate is estimated to meet the requirement and the outage probability is minimized. The proposed handover scheme is simulated in a BSN deployment area in a hospital environment in UK. Simulation results show that the proposed scheme reduces the outage probability by 22% as compared with the existing hysteresis-based handover scheme under the constraint of acceptable handover rate.
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spelling pubmed-37152622013-07-24 An Optimized Handover Scheme with Movement Trend Awareness for Body Sensor Networks Sun, Wen Zhang, Zhiqiang Ji, Lianying Wong, Wai-Choong Sensors (Basel) Article When a body sensor network (BSN) that is linked to the backbone via a wireless network interface moves from one coverage zone to another, a handover is required to maintain network connectivity. This paper presents an optimized handover scheme with movement trend awareness for BSNs. The proposed scheme predicts the future position of a BSN user using the movement trend extracted from the historical position, and adjusts the handover decision accordingly. Handover initiation time is optimized when the unnecessary handover rate is estimated to meet the requirement and the outage probability is minimized. The proposed handover scheme is simulated in a BSN deployment area in a hospital environment in UK. Simulation results show that the proposed scheme reduces the outage probability by 22% as compared with the existing hysteresis-based handover scheme under the constraint of acceptable handover rate. Molecular Diversity Preservation International (MDPI) 2013-06-03 /pmc/articles/PMC3715262/ /pubmed/23736852 http://dx.doi.org/10.3390/s130607308 Text en © 2013 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/3.0/).
spellingShingle Article
Sun, Wen
Zhang, Zhiqiang
Ji, Lianying
Wong, Wai-Choong
An Optimized Handover Scheme with Movement Trend Awareness for Body Sensor Networks
title An Optimized Handover Scheme with Movement Trend Awareness for Body Sensor Networks
title_full An Optimized Handover Scheme with Movement Trend Awareness for Body Sensor Networks
title_fullStr An Optimized Handover Scheme with Movement Trend Awareness for Body Sensor Networks
title_full_unstemmed An Optimized Handover Scheme with Movement Trend Awareness for Body Sensor Networks
title_short An Optimized Handover Scheme with Movement Trend Awareness for Body Sensor Networks
title_sort optimized handover scheme with movement trend awareness for body sensor networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3715262/
https://www.ncbi.nlm.nih.gov/pubmed/23736852
http://dx.doi.org/10.3390/s130607308
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