{"title":"PMIPv6中基于移动历史的预测切换方案","authors":"Geumsan Jo, H. Choe, Hyunseung Choo","doi":"10.1145/2513228.2513260","DOIUrl":null,"url":null,"abstract":"People have a limited mobility pattern to go to work or school in the same path at the almost same time each day. The study on finding human mobility pattern shows that the mobile phone users eventually return to the designated place even if they move to various places. It also finds out 93% potential predictability in user mobility. In the cellular network, several schemes are proposed to effectively find the mobile node (MN) using regularly repeated mobility characteristic. If the mobility characteristic, which is a limited travel pattern, integrates with Proxy Mobile IPv6 (PMIPv6), it can reduce the handover latency by predicting the next Mobile Access Gateway (nMAG). In the proposed scheme, the Local Mobility Anchor (LMA) keeps the movement history of an MN, and predicts the nMAG by comparison between the current location of the MN and the previous location. In the performance evaluation, we compare the proposed scheme with PMIPv6 using the mathematical modeling. The performance evaluation results show the proposed scheme reduces the handover latency up to 28% compared with that of PMIPv6.","PeriodicalId":120340,"journal":{"name":"Research in Adaptive and Convergent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Predictive handover scheme using mobility history in PMIPv6\",\"authors\":\"Geumsan Jo, H. Choe, Hyunseung Choo\",\"doi\":\"10.1145/2513228.2513260\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"People have a limited mobility pattern to go to work or school in the same path at the almost same time each day. The study on finding human mobility pattern shows that the mobile phone users eventually return to the designated place even if they move to various places. It also finds out 93% potential predictability in user mobility. In the cellular network, several schemes are proposed to effectively find the mobile node (MN) using regularly repeated mobility characteristic. If the mobility characteristic, which is a limited travel pattern, integrates with Proxy Mobile IPv6 (PMIPv6), it can reduce the handover latency by predicting the next Mobile Access Gateway (nMAG). In the proposed scheme, the Local Mobility Anchor (LMA) keeps the movement history of an MN, and predicts the nMAG by comparison between the current location of the MN and the previous location. In the performance evaluation, we compare the proposed scheme with PMIPv6 using the mathematical modeling. The performance evaluation results show the proposed scheme reduces the handover latency up to 28% compared with that of PMIPv6.\",\"PeriodicalId\":120340,\"journal\":{\"name\":\"Research in Adaptive and Convergent Systems\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Research in Adaptive and Convergent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2513228.2513260\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research in Adaptive and Convergent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2513228.2513260","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Predictive handover scheme using mobility history in PMIPv6
People have a limited mobility pattern to go to work or school in the same path at the almost same time each day. The study on finding human mobility pattern shows that the mobile phone users eventually return to the designated place even if they move to various places. It also finds out 93% potential predictability in user mobility. In the cellular network, several schemes are proposed to effectively find the mobile node (MN) using regularly repeated mobility characteristic. If the mobility characteristic, which is a limited travel pattern, integrates with Proxy Mobile IPv6 (PMIPv6), it can reduce the handover latency by predicting the next Mobile Access Gateway (nMAG). In the proposed scheme, the Local Mobility Anchor (LMA) keeps the movement history of an MN, and predicts the nMAG by comparison between the current location of the MN and the previous location. In the performance evaluation, we compare the proposed scheme with PMIPv6 using the mathematical modeling. The performance evaluation results show the proposed scheme reduces the handover latency up to 28% compared with that of PMIPv6.