Access point selection mechanism based on cross-layer awareness for cognitive networks
Accessing to the optimal network was an effective way of ensuring the efficiency of network resources utilization and improving network performance.An access point selection mechanism based on cross-layer awareness for cognitive networks(CN_CLA)was proposed.Firstly,a cross-layer cognitive framework...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2015-10-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015214/ |
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| _version_ | 1841539588895539200 |
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| author | Hui-qiang WANG Xiao-ming CHEN Hong-wu LV Guang-sheng FENG Qiang ZHU |
| author_facet | Hui-qiang WANG Xiao-ming CHEN Hong-wu LV Guang-sheng FENG Qiang ZHU |
| author_sort | Hui-qiang WANG |
| collection | DOAJ |
| description | Accessing to the optimal network was an effective way of ensuring the efficiency of network resources utilization and improving network performance.An access point selection mechanism based on cross-layer awareness for cognitive networks(CN_CLA)was proposed.Firstly,a cross-layer cognitive framework was constructed for obtaining the primary evaluation parameters that influence the performance of network access.Secondly,the fuzzy theory was applied for evaluating the access network performance comprehensively,and the weights in each layer were optimized using the quantum genetic algorithm,and then the access point was selected intelligently.Simulation results show that the proposed method chooses reasonable access networks without intervention of users.Furthermore,it is superior to the traditional methods,including the link capacity scheme,H_RSSI_S and AS_FTM,in terms of throughput,delay,session completion rate,packet loss and other performance indicators. |
| format | Article |
| id | doaj-art-81e21e39510d463b9123d94ba5f7fac6 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2015-10-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-81e21e39510d463b9123d94ba5f7fac62025-01-14T06:53:56ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2015-10-013618819959696598Access point selection mechanism based on cross-layer awareness for cognitive networksHui-qiang WANGXiao-ming CHENHong-wu LVGuang-sheng FENGQiang ZHUAccessing to the optimal network was an effective way of ensuring the efficiency of network resources utilization and improving network performance.An access point selection mechanism based on cross-layer awareness for cognitive networks(CN_CLA)was proposed.Firstly,a cross-layer cognitive framework was constructed for obtaining the primary evaluation parameters that influence the performance of network access.Secondly,the fuzzy theory was applied for evaluating the access network performance comprehensively,and the weights in each layer were optimized using the quantum genetic algorithm,and then the access point was selected intelligently.Simulation results show that the proposed method chooses reasonable access networks without intervention of users.Furthermore,it is superior to the traditional methods,including the link capacity scheme,H_RSSI_S and AS_FTM,in terms of throughput,delay,session completion rate,packet loss and other performance indicators.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015214/cognitive networkscross-layer awarenessfuzzy synthetic evaluationquantum genetic algorithm |
| spellingShingle | Hui-qiang WANG Xiao-ming CHEN Hong-wu LV Guang-sheng FENG Qiang ZHU Access point selection mechanism based on cross-layer awareness for cognitive networks Tongxin xuebao cognitive networks cross-layer awareness fuzzy synthetic evaluation quantum genetic algorithm |
| title | Access point selection mechanism based on cross-layer awareness for cognitive networks |
| title_full | Access point selection mechanism based on cross-layer awareness for cognitive networks |
| title_fullStr | Access point selection mechanism based on cross-layer awareness for cognitive networks |
| title_full_unstemmed | Access point selection mechanism based on cross-layer awareness for cognitive networks |
| title_short | Access point selection mechanism based on cross-layer awareness for cognitive networks |
| title_sort | access point selection mechanism based on cross layer awareness for cognitive networks |
| topic | cognitive networks cross-layer awareness fuzzy synthetic evaluation quantum genetic algorithm |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015214/ |
| work_keys_str_mv | AT huiqiangwang accesspointselectionmechanismbasedoncrosslayerawarenessforcognitivenetworks AT xiaomingchen accesspointselectionmechanismbasedoncrosslayerawarenessforcognitivenetworks AT hongwulv accesspointselectionmechanismbasedoncrosslayerawarenessforcognitivenetworks AT guangshengfeng accesspointselectionmechanismbasedoncrosslayerawarenessforcognitivenetworks AT qiangzhu accesspointselectionmechanismbasedoncrosslayerawarenessforcognitivenetworks |