{"title":"面向manet的室外场景移动性建模","authors":"I. Stepanov, P. Marrón, K. Rothermel","doi":"10.1109/ANSS.2005.29","DOIUrl":null,"url":null,"abstract":"Mobility of users significantly impacts performance of a mobile ad-hoc network. Most existing simulation tools offer only a few random mobility models, which poorly reflect user movements in outdoor scenarios. For example, they do not consider restrictions of a spatial environment. In this paper, we describe a comprehensive and extensible approach to model mobility of users in outdoor scenarios. It reflects the main factors that influence user movement: spatial environments, user travel decisions, and user movement dynamics. We identify model parameters and show how to set them for concrete scenarios. We provide a simulation environment implementing our approach. For concrete scenarios, the environment supports automatic derivation of some parameters from user position traces.","PeriodicalId":270527,"journal":{"name":"38th Annual Simulation Symposium","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"73","resultStr":"{\"title\":\"Mobility modeling of outdoor scenarios for MANETs\",\"authors\":\"I. Stepanov, P. Marrón, K. Rothermel\",\"doi\":\"10.1109/ANSS.2005.29\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Mobility of users significantly impacts performance of a mobile ad-hoc network. Most existing simulation tools offer only a few random mobility models, which poorly reflect user movements in outdoor scenarios. For example, they do not consider restrictions of a spatial environment. In this paper, we describe a comprehensive and extensible approach to model mobility of users in outdoor scenarios. It reflects the main factors that influence user movement: spatial environments, user travel decisions, and user movement dynamics. We identify model parameters and show how to set them for concrete scenarios. We provide a simulation environment implementing our approach. For concrete scenarios, the environment supports automatic derivation of some parameters from user position traces.\",\"PeriodicalId\":270527,\"journal\":{\"name\":\"38th Annual Simulation Symposium\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-04-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"73\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"38th Annual Simulation Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ANSS.2005.29\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"38th Annual Simulation Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANSS.2005.29","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mobility of users significantly impacts performance of a mobile ad-hoc network. Most existing simulation tools offer only a few random mobility models, which poorly reflect user movements in outdoor scenarios. For example, they do not consider restrictions of a spatial environment. In this paper, we describe a comprehensive and extensible approach to model mobility of users in outdoor scenarios. It reflects the main factors that influence user movement: spatial environments, user travel decisions, and user movement dynamics. We identify model parameters and show how to set them for concrete scenarios. We provide a simulation environment implementing our approach. For concrete scenarios, the environment supports automatic derivation of some parameters from user position traces.