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 y...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-10-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/19/20/4415 |
| _version_ | 1811187898413744128 |
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| author | Taewoon Kim Chanjun Chun Wooyeol Choi |
| author_facet | Taewoon Kim Chanjun Chun Wooyeol Choi |
| author_sort | Taewoon Kim |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-11T14:10:18Z |
| format | Article |
| id | doaj.art-6fde918f0eea430a834fb576c92b6687 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T14:10:18Z |
| publishDate | 2019-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-6fde918f0eea430a834fb576c92b66872022-12-22T04:19:44ZengMDPI AGSensors1424-82202019-10-011920441510.3390/s19204415s19204415Optimal User Association Strategy for Large-Scale IoT Sensor Networks with Mobility on Cloud RANsTaewoon Kim0Chanjun Chun1Wooyeol Choi2School of Software, Hallym University, Chuncheon 24252, KoreaFuture Infrastructure Research Center, Korea Institute of Civil Engineering and Building Technology, Goyang 10223, KoreaDepartment of Computer Engineering, Chosun University, Gwangju 61452, KoreaIn 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.https://www.mdpi.com/1424-8220/19/20/4415cloud ranuser associationhandoverload balanceiot sensormobilitywireless networksoptimization |
| spellingShingle | Taewoon Kim Chanjun Chun Wooyeol Choi Optimal User Association Strategy for Large-Scale IoT Sensor Networks with Mobility on Cloud RANs Sensors cloud ran user association handover load balance iot sensor mobility wireless networks optimization |
| 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 | cloud ran user association handover load balance iot sensor mobility wireless networks optimization |
| url | https://www.mdpi.com/1424-8220/19/20/4415 |
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