{"title":"利用智能移动传感器加强网络连接","authors":"A. A. Shukaili, N. Chilamkurti, P. Veeraraghavan","doi":"10.1109/ATNAC.2011.6096673","DOIUrl":null,"url":null,"abstract":"Nowadays, mobile devices are multi-interface systems which are, theoretically, capable of exploiting multiple Radio Access Technologies simultaneously. Furthermore, modern mobile devices have motion and location sensors that can used to facilitate robust network connectivity. We propose a Multi-Interface System Connectivity Manager that takes advantage of all the available resources in mobile devices. In this study, we emphasize on enhancing the Point of Attachment (PoA) discovery by using the aid of motion sensors and location data. In this work, we use real mobile phone using Android operating system to conduct our experiments. The results show that our proposed scheme performance more efficiently and only with small overhead in terms of power and computation.","PeriodicalId":210916,"journal":{"name":"2011 Australasian Telecommunication Networks and Applications Conference (ATNAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhancing network connectivity using smart mobile sensors\",\"authors\":\"A. A. Shukaili, N. Chilamkurti, P. Veeraraghavan\",\"doi\":\"10.1109/ATNAC.2011.6096673\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Nowadays, mobile devices are multi-interface systems which are, theoretically, capable of exploiting multiple Radio Access Technologies simultaneously. Furthermore, modern mobile devices have motion and location sensors that can used to facilitate robust network connectivity. We propose a Multi-Interface System Connectivity Manager that takes advantage of all the available resources in mobile devices. In this study, we emphasize on enhancing the Point of Attachment (PoA) discovery by using the aid of motion sensors and location data. In this work, we use real mobile phone using Android operating system to conduct our experiments. The results show that our proposed scheme performance more efficiently and only with small overhead in terms of power and computation.\",\"PeriodicalId\":210916,\"journal\":{\"name\":\"2011 Australasian Telecommunication Networks and Applications Conference (ATNAC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-12-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 Australasian Telecommunication Networks and Applications Conference (ATNAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ATNAC.2011.6096673\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Australasian Telecommunication Networks and Applications Conference (ATNAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ATNAC.2011.6096673","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Enhancing network connectivity using smart mobile sensors
Nowadays, mobile devices are multi-interface systems which are, theoretically, capable of exploiting multiple Radio Access Technologies simultaneously. Furthermore, modern mobile devices have motion and location sensors that can used to facilitate robust network connectivity. We propose a Multi-Interface System Connectivity Manager that takes advantage of all the available resources in mobile devices. In this study, we emphasize on enhancing the Point of Attachment (PoA) discovery by using the aid of motion sensors and location data. In this work, we use real mobile phone using Android operating system to conduct our experiments. The results show that our proposed scheme performance more efficiently and only with small overhead in terms of power and computation.