Adaptive Vertical Handover Algorithm based on Fuzzy Hierarchy-entropy Weight Method
In current heterogeneous network, the multi-decision attribute vertical handover algorithm is difficult to dynamically adjust the weight value of the network attributes, and thus cannot meet the user’s Quality of Service (QoS) requirements. To solve this issue, this paper aims at accessing the optim...
| Main Authors: | , |
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| Format: | Article |
| Language: | zho |
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《光通信研究》编辑部
2021-06-01
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| Series: | Guangtongxin yanjiu |
| Subjects: | |
| Online Access: | http://www.gtxyj.com.cn/thesisDetails#10.13756/j.gtxyj.2021.03.012&lang=zh |
| _version_ | 1811177802688364544 |
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| author | Long-zhang WANG Cui-ran LI |
| author_facet | Long-zhang WANG Cui-ran LI |
| author_sort | Long-zhang WANG |
| collection | DOAJ |
| description | In current heterogeneous network, the multi-decision attribute vertical handover algorithm is difficult to dynamically adjust the weight value of the network attributes, and thus cannot meet the user’s Quality of Service (QoS) requirements. To solve this issue, this paper aims at accessing the optimal heterogeneous wireless network and guaranteeing the user’s QoS, and proposes an adaptive vertical handover algorithm based on the fuzzy hierarchy-entropy weight method. First, according to user experience, a model of network attribute optimization is constructed by combining subjective fuzzy hierarchical weighting and objective entropy weights. Then, an adaptive mechanism is used to dynamically adjust the weight value of each network attribute according to user experience. Finally, the cost function is used to predict the state of the heterogeneous network to select the optimal wireless network. Simulation experiments verify that the proposed algorithm can effectively reduce the network switching rate, better ensuring the load balancing between heterogeneous wireless networks, and increase the endurance of mobile terminals. |
| first_indexed | 2024-04-11T06:08:29Z |
| format | Article |
| id | doaj.art-46e2febb7d314402b15e2086c80e83c7 |
| institution | Directory Open Access Journal |
| issn | 1005-8788 |
| language | zho |
| last_indexed | 2024-04-11T06:08:29Z |
| publishDate | 2021-06-01 |
| publisher | 《光通信研究》编辑部 |
| record_format | Article |
| series | Guangtongxin yanjiu |
| spelling | doaj.art-46e2febb7d314402b15e2086c80e83c72022-12-22T04:41:25Zzho《光通信研究》编辑部Guangtongxin yanjiu1005-87882021-06-010003525810.13756/j.gtxyj.2021.03.0121005-8788(2021)03-0052-07Adaptive Vertical Handover Algorithm based on Fuzzy Hierarchy-entropy Weight MethodLong-zhang WANGCui-ran LIIn current heterogeneous network, the multi-decision attribute vertical handover algorithm is difficult to dynamically adjust the weight value of the network attributes, and thus cannot meet the user’s Quality of Service (QoS) requirements. To solve this issue, this paper aims at accessing the optimal heterogeneous wireless network and guaranteeing the user’s QoS, and proposes an adaptive vertical handover algorithm based on the fuzzy hierarchy-entropy weight method. First, according to user experience, a model of network attribute optimization is constructed by combining subjective fuzzy hierarchical weighting and objective entropy weights. Then, an adaptive mechanism is used to dynamically adjust the weight value of each network attribute according to user experience. Finally, the cost function is used to predict the state of the heterogeneous network to select the optimal wireless network. Simulation experiments verify that the proposed algorithm can effectively reduce the network switching rate, better ensuring the load balancing between heterogeneous wireless networks, and increase the endurance of mobile terminals.http://www.gtxyj.com.cn/thesisDetails#10.13756/j.gtxyj.2021.03.012&lang=zhheterogeneous networkvertical handoveruser experienceadaptive weights |
| spellingShingle | Long-zhang WANG Cui-ran LI Adaptive Vertical Handover Algorithm based on Fuzzy Hierarchy-entropy Weight Method Guangtongxin yanjiu heterogeneous network vertical handover user experience adaptive weights |
| title | Adaptive Vertical Handover Algorithm based on Fuzzy Hierarchy-entropy Weight Method |
| title_full | Adaptive Vertical Handover Algorithm based on Fuzzy Hierarchy-entropy Weight Method |
| title_fullStr | Adaptive Vertical Handover Algorithm based on Fuzzy Hierarchy-entropy Weight Method |
| title_full_unstemmed | Adaptive Vertical Handover Algorithm based on Fuzzy Hierarchy-entropy Weight Method |
| title_short | Adaptive Vertical Handover Algorithm based on Fuzzy Hierarchy-entropy Weight Method |
| title_sort | adaptive vertical handover algorithm based on fuzzy hierarchy entropy weight method |
| topic | heterogeneous network vertical handover user experience adaptive weights |
| url | http://www.gtxyj.com.cn/thesisDetails#10.13756/j.gtxyj.2021.03.012&lang=zh |
| work_keys_str_mv | AT longzhangwang adaptiveverticalhandoveralgorithmbasedonfuzzyhierarchyentropyweightmethod AT cuiranli adaptiveverticalhandoveralgorithmbasedonfuzzyhierarchyentropyweightmethod |