{"title":"Design and Simulation of VANETs Testbed Using OpenStreetMap, SUMO, and NS-2","authors":"Claude Nawej, P. Owolawi, Tom Walingo","doi":"10.1109/ICCCS52626.2021.9449197","DOIUrl":null,"url":null,"abstract":"Automobiles traffic has increased exponentially around the world, posing serious threats to road users almost everywhere. To mitigate these threats, and make life on the road more viable, Vehicular ad-hoc networks (VANET) technology is emerging as one of the ultimate solutions. However, it was observed that most VANETs work with relativity of the mobile user's movement instead of vehicles movement as required by VANET simulation. Moreover, it seems to be a great challenge to create or obtain real-life network scenario data for use in VANET simulation. Works done in previous researches showed a proximate data generation closer to ideal. In this paper, using combined tools such as Open Street Map, Simulation of Urban Mobility (SUMO), and Network Simulator-2 (NS-2), a middleware solution capable of putting together vehicle movements and VANETs realistic properties is implemented. The implemented solution offers an improved, real, and ideal solution compared to existing solutions.","PeriodicalId":376290,"journal":{"name":"2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCS52626.2021.9449197","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Automobiles traffic has increased exponentially around the world, posing serious threats to road users almost everywhere. To mitigate these threats, and make life on the road more viable, Vehicular ad-hoc networks (VANET) technology is emerging as one of the ultimate solutions. However, it was observed that most VANETs work with relativity of the mobile user's movement instead of vehicles movement as required by VANET simulation. Moreover, it seems to be a great challenge to create or obtain real-life network scenario data for use in VANET simulation. Works done in previous researches showed a proximate data generation closer to ideal. In this paper, using combined tools such as Open Street Map, Simulation of Urban Mobility (SUMO), and Network Simulator-2 (NS-2), a middleware solution capable of putting together vehicle movements and VANETs realistic properties is implemented. The implemented solution offers an improved, real, and ideal solution compared to existing solutions.