Joint AP Association and Bandwidth Allocation Optimization Algorithm in High-Dense WLANs
Regarding access point (AP) overload and performance anomaly which is caused by mobile terminals with different bitrates, a joint AP association and bandwidth allocation optimization algorithm is presented in this paper. Meanwhile, load balancing and proportional fairness are analyzed and formulated...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-08-01
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| Series: | Future Internet |
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| Online Access: | http://www.mdpi.com/1999-5903/10/8/73 |
| _version_ | 1818958195403522048 |
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| author | Jianjun Lei Jiarui Tao Shanshan Yang |
| author_facet | Jianjun Lei Jiarui Tao Shanshan Yang |
| author_sort | Jianjun Lei |
| collection | DOAJ |
| description | Regarding access point (AP) overload and performance anomaly which is caused by mobile terminals with different bitrates, a joint AP association and bandwidth allocation optimization algorithm is presented in this paper. Meanwhile, load balancing and proportional fairness are analyzed and formulated as an optimization model. Then, we present a Fair Bandwidth Allocation algorithm based on clients’ Business Priority (FBA-BP), which allocates bandwidth based on the bandwidth demand of clients and their business priority. Furthermore, we propose a Categorized AP Association algorithm based on clients’ demands (CAA-BD), which classifies APs by different types of clients and chooses an optimal associating AP for a new client according to AP categories and the aggregated demand transmission time that are calculated by the FBA-BP algorithm. The CAA-BD can achieve load balance and solve the performance anomaly caused by multi-rate clients coexisting. The simulation results show that our proposed algorithm obtains significant performance in terms of AP utilization, throughput, transmission delay and channel fairness in different client density levels compared with the categorized and Strong Signal First (SSF) algorithms. |
| first_indexed | 2024-12-20T11:21:53Z |
| format | Article |
| id | doaj.art-3f088e6bf5d84a638565e2b30d85ec10 |
| institution | Directory Open Access Journal |
| issn | 1999-5903 |
| language | English |
| last_indexed | 2024-12-20T11:21:53Z |
| publishDate | 2018-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Future Internet |
| spelling | doaj.art-3f088e6bf5d84a638565e2b30d85ec102022-12-21T19:42:29ZengMDPI AGFuture Internet1999-59032018-08-011087310.3390/fi10080073fi10080073Joint AP Association and Bandwidth Allocation Optimization Algorithm in High-Dense WLANsJianjun Lei0Jiarui Tao1Shanshan Yang2School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaSchool of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaSchool of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaRegarding access point (AP) overload and performance anomaly which is caused by mobile terminals with different bitrates, a joint AP association and bandwidth allocation optimization algorithm is presented in this paper. Meanwhile, load balancing and proportional fairness are analyzed and formulated as an optimization model. Then, we present a Fair Bandwidth Allocation algorithm based on clients’ Business Priority (FBA-BP), which allocates bandwidth based on the bandwidth demand of clients and their business priority. Furthermore, we propose a Categorized AP Association algorithm based on clients’ demands (CAA-BD), which classifies APs by different types of clients and chooses an optimal associating AP for a new client according to AP categories and the aggregated demand transmission time that are calculated by the FBA-BP algorithm. The CAA-BD can achieve load balance and solve the performance anomaly caused by multi-rate clients coexisting. The simulation results show that our proposed algorithm obtains significant performance in terms of AP utilization, throughput, transmission delay and channel fairness in different client density levels compared with the categorized and Strong Signal First (SSF) algorithms.http://www.mdpi.com/1999-5903/10/8/73AP associationbandwidth allocationload balancingWLANs |
| spellingShingle | Jianjun Lei Jiarui Tao Shanshan Yang Joint AP Association and Bandwidth Allocation Optimization Algorithm in High-Dense WLANs Future Internet AP association bandwidth allocation load balancing WLANs |
| title | Joint AP Association and Bandwidth Allocation Optimization Algorithm in High-Dense WLANs |
| title_full | Joint AP Association and Bandwidth Allocation Optimization Algorithm in High-Dense WLANs |
| title_fullStr | Joint AP Association and Bandwidth Allocation Optimization Algorithm in High-Dense WLANs |
| title_full_unstemmed | Joint AP Association and Bandwidth Allocation Optimization Algorithm in High-Dense WLANs |
| title_short | Joint AP Association and Bandwidth Allocation Optimization Algorithm in High-Dense WLANs |
| title_sort | joint ap association and bandwidth allocation optimization algorithm in high dense wlans |
| topic | AP association bandwidth allocation load balancing WLANs |
| url | http://www.mdpi.com/1999-5903/10/8/73 |
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