Cargando…

Optimal User Association Strategy for Large-Scale IoT Sensor Networks with Mobility on Cloud RANs

In networking systems such as cloud radio access networks (C-RAN) where users receive the connection and data service from short-range, light-weight base stations (BSs), users’ mobility has a significant impact on their association with BSs. Although communicating with the closest BS may yield the m...

Descripción completa

Detalles Bibliográficos
Autores principales: Kim, Taewoon, Chun, Chanjun, Choi, Wooyeol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6832922/
https://www.ncbi.nlm.nih.gov/pubmed/31614801
http://dx.doi.org/10.3390/s19204415
_version_ 1783466257190748160
author Kim, Taewoon
Chun, Chanjun
Choi, Wooyeol
author_facet Kim, Taewoon
Chun, Chanjun
Choi, Wooyeol
author_sort Kim, Taewoon
collection PubMed
description In networking systems such as cloud radio access networks (C-RAN) where users receive the connection and data service from short-range, light-weight base stations (BSs), users’ mobility has a significant impact on their association with BSs. Although communicating with the closest BS may yield the most desirable channel conditions, such strategy can lead to certain BSs being over-populated while leaving remaining BSs under-utilized. In addition, mobile users may encounter frequent handovers, which imposes a non-negligible burden on BSs and users. To reduce the handover overhead while balancing the traffic loads between BSs, we propose an optimal user association strategy for a large-scale mobile Internet of Things (IoT) network operating on C-RAN. We begin with formulating an optimal user association scheme focusing only on the task of load balancing. Thereafter, we revise the formulation such that the number of handovers is minimized while keeping BSs well-balanced in terms of the traffic load. To evaluate the performance of the proposed scheme, we implement a discrete-time network simulator. The evaluation results show that the proposed optimal user association strategy can significantly reduce the number of handovers, while outperforming conventional association schemes in terms of load balancing.
format Online
Article
Text
id pubmed-6832922
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-68329222019-11-25 Optimal User Association Strategy for Large-Scale IoT Sensor Networks with Mobility on Cloud RANs Kim, Taewoon Chun, Chanjun Choi, Wooyeol Sensors (Basel) Article In networking systems such as cloud radio access networks (C-RAN) where users receive the connection and data service from short-range, light-weight base stations (BSs), users’ mobility has a significant impact on their association with BSs. Although communicating with the closest BS may yield the most desirable channel conditions, such strategy can lead to certain BSs being over-populated while leaving remaining BSs under-utilized. In addition, mobile users may encounter frequent handovers, which imposes a non-negligible burden on BSs and users. To reduce the handover overhead while balancing the traffic loads between BSs, we propose an optimal user association strategy for a large-scale mobile Internet of Things (IoT) network operating on C-RAN. We begin with formulating an optimal user association scheme focusing only on the task of load balancing. Thereafter, we revise the formulation such that the number of handovers is minimized while keeping BSs well-balanced in terms of the traffic load. To evaluate the performance of the proposed scheme, we implement a discrete-time network simulator. The evaluation results show that the proposed optimal user association strategy can significantly reduce the number of handovers, while outperforming conventional association schemes in terms of load balancing. MDPI 2019-10-12 /pmc/articles/PMC6832922/ /pubmed/31614801 http://dx.doi.org/10.3390/s19204415 Text en © 2019 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
Kim, Taewoon
Chun, Chanjun
Choi, Wooyeol
Optimal User Association Strategy for Large-Scale IoT Sensor Networks with Mobility on Cloud RANs
title Optimal User Association Strategy for Large-Scale IoT Sensor Networks with Mobility on Cloud RANs
title_full Optimal User Association Strategy for Large-Scale IoT Sensor Networks with Mobility on Cloud RANs
title_fullStr Optimal User Association Strategy for Large-Scale IoT Sensor Networks with Mobility on Cloud RANs
title_full_unstemmed Optimal User Association Strategy for Large-Scale IoT Sensor Networks with Mobility on Cloud RANs
title_short Optimal User Association Strategy for Large-Scale IoT Sensor Networks with Mobility on Cloud RANs
title_sort optimal user association strategy for large-scale iot sensor networks with mobility on cloud rans
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6832922/
https://www.ncbi.nlm.nih.gov/pubmed/31614801
http://dx.doi.org/10.3390/s19204415
work_keys_str_mv AT kimtaewoon optimaluserassociationstrategyforlargescaleiotsensornetworkswithmobilityoncloudrans
AT chunchanjun optimaluserassociationstrategyforlargescaleiotsensornetworkswithmobilityoncloudrans
AT choiwooyeol optimaluserassociationstrategyforlargescaleiotsensornetworkswithmobilityoncloudrans