{"title":"基于IEEE 802.11k邻居报告的自适应邻居缓存快速BSS转换","authors":"Ching-Hwa Yu, Michael Pan, Sheng-de Wang","doi":"10.1109/ISPA.2008.78","DOIUrl":null,"url":null,"abstract":"Handoff latency is a severe bottleneck impacting the service continuity for voice and multimedia applications in WLAN. IEEE 802.11k neighbor report defines the neighbor APs which are potential transition candidates for the roaming target. But the selection method for the roaming target AP is left undefined. Several schemes have been proposed for fast handoff with neighbor APpsilas information. However, these schemes result in huge redundant transition messages overheads in the WLAN and require high computing power for the AAA (Authentication, Authorization, and Access control) server. In this paper, we propose an adaptive neighbor caching (ANC) method to achieve higher handoff prediction accuracy for selecting proper candidate APs in the Neighbor Report. An adaptive predictability index is introduced for selecting those potential roaming APs, which can mitigate the scanning latency and the pre-authentication key distribution message overhead in the WLAN as well as computing loading for the AAA server. Simulation results present up to 83.5% of transition messages are reduced in comparison to the Proactive Neighbor Caching (PNC), 56.4% of candidate AP selection accuracy is improved and 37.5% of transition messages are reduced in comparison to the Selective Neighbor Caching (SNC).","PeriodicalId":345341,"journal":{"name":"2008 IEEE International Symposium on Parallel and Distributed Processing with Applications","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Adaptive Neighbor Caching for Fast BSS Transition Using IEEE 802.11k Neighbor Report\",\"authors\":\"Ching-Hwa Yu, Michael Pan, Sheng-de Wang\",\"doi\":\"10.1109/ISPA.2008.78\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Handoff latency is a severe bottleneck impacting the service continuity for voice and multimedia applications in WLAN. IEEE 802.11k neighbor report defines the neighbor APs which are potential transition candidates for the roaming target. But the selection method for the roaming target AP is left undefined. Several schemes have been proposed for fast handoff with neighbor APpsilas information. However, these schemes result in huge redundant transition messages overheads in the WLAN and require high computing power for the AAA (Authentication, Authorization, and Access control) server. In this paper, we propose an adaptive neighbor caching (ANC) method to achieve higher handoff prediction accuracy for selecting proper candidate APs in the Neighbor Report. An adaptive predictability index is introduced for selecting those potential roaming APs, which can mitigate the scanning latency and the pre-authentication key distribution message overhead in the WLAN as well as computing loading for the AAA server. Simulation results present up to 83.5% of transition messages are reduced in comparison to the Proactive Neighbor Caching (PNC), 56.4% of candidate AP selection accuracy is improved and 37.5% of transition messages are reduced in comparison to the Selective Neighbor Caching (SNC).\",\"PeriodicalId\":345341,\"journal\":{\"name\":\"2008 IEEE International Symposium on Parallel and Distributed Processing with Applications\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE International Symposium on Parallel and Distributed Processing with Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISPA.2008.78\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE International Symposium on Parallel and Distributed Processing with Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPA.2008.78","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
摘要
切换延迟是影响无线局域网语音和多媒体业务连续性的严重瓶颈。IEEE 802.11k邻居报告定义了漫游目标的潜在过渡候选邻居ap。但是漫游目标AP的选择方法没有定义。提出了几种与邻居APpsilas信息快速切换的方案。然而,这些方案会导致WLAN中的大量冗余转换消息开销,并且需要AAA (Authentication, Authorization, and Access control)服务器的高计算能力。为了在邻居报告中选择合适的候选ap,我们提出了一种自适应邻居缓存(ANC)方法来实现更高的切换预测精度。引入自适应的可预测性指标来选择这些潜在的漫游ap,可以减少扫描延迟和WLAN中预认证密钥分发消息开销以及AAA服务器的计算负载。仿真结果表明,与主动邻居缓存(PNC)相比,转换消息减少了83.5%,候选AP选择精度提高了56.4%,与选择性邻居缓存(SNC)相比,转换消息减少了37.5%。
Adaptive Neighbor Caching for Fast BSS Transition Using IEEE 802.11k Neighbor Report
Handoff latency is a severe bottleneck impacting the service continuity for voice and multimedia applications in WLAN. IEEE 802.11k neighbor report defines the neighbor APs which are potential transition candidates for the roaming target. But the selection method for the roaming target AP is left undefined. Several schemes have been proposed for fast handoff with neighbor APpsilas information. However, these schemes result in huge redundant transition messages overheads in the WLAN and require high computing power for the AAA (Authentication, Authorization, and Access control) server. In this paper, we propose an adaptive neighbor caching (ANC) method to achieve higher handoff prediction accuracy for selecting proper candidate APs in the Neighbor Report. An adaptive predictability index is introduced for selecting those potential roaming APs, which can mitigate the scanning latency and the pre-authentication key distribution message overhead in the WLAN as well as computing loading for the AAA server. Simulation results present up to 83.5% of transition messages are reduced in comparison to the Proactive Neighbor Caching (PNC), 56.4% of candidate AP selection accuracy is improved and 37.5% of transition messages are reduced in comparison to the Selective Neighbor Caching (SNC).