{"title":"Cluster connectivity selection criteria in vehicular ad hoc networks","authors":"N. Kaur, Sandeep Kad","doi":"10.1109/IC3I.2016.7917993","DOIUrl":null,"url":null,"abstract":"Grouping of vehicles into clusters proves to be very rewarding for VANETs as if it reutilizes all the resources within group and thereby increases the system capacity. The main idealization of our work is to provide selection criteria for next available cluster head node (NACH). The various parameters for selection criteria are speed, position, acceleration, directional threshold point, threshold edge. Our proposed work aims to create dynamic cluster by marking down the re-clustering overhead. The simulation results shows that proposed technique prolonged the cluster longevity as compared to other archaic clustering process as well as the existing comparison technique used in the paper.","PeriodicalId":305971,"journal":{"name":"2016 2nd International Conference on Contemporary Computing and Informatics (IC3I)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 2nd International Conference on Contemporary Computing and Informatics (IC3I)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC3I.2016.7917993","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
Grouping of vehicles into clusters proves to be very rewarding for VANETs as if it reutilizes all the resources within group and thereby increases the system capacity. The main idealization of our work is to provide selection criteria for next available cluster head node (NACH). The various parameters for selection criteria are speed, position, acceleration, directional threshold point, threshold edge. Our proposed work aims to create dynamic cluster by marking down the re-clustering overhead. The simulation results shows that proposed technique prolonged the cluster longevity as compared to other archaic clustering process as well as the existing comparison technique used in the paper.