{"title":"An Enhanced Self-deployment Algorithm in Mobile Sensor Network","authors":"Minghua Yang, Yuanda Cao, Li Tan, Jiong Yu","doi":"10.1109/FITME.2008.128","DOIUrl":null,"url":null,"abstract":"In order to enforce the sensing performance of mobile sensor network (MSN), an enhanced self-deployment (ESD) algorithm is proposed in this paper. By designing the virtual repulsive force between nodes, the movement equation and the virtual attracting-field in the sensing area, the problems of the network partition and coverage holes which are aroused by conventional potential-field-based deployment approach is solved. Simulation results show that ESD algorithm exhibits excellent performance and expands the generalization of MSN greatly.","PeriodicalId":218182,"journal":{"name":"2008 International Seminar on Future Information Technology and Management Engineering","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Seminar on Future Information Technology and Management Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FITME.2008.128","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
In order to enforce the sensing performance of mobile sensor network (MSN), an enhanced self-deployment (ESD) algorithm is proposed in this paper. By designing the virtual repulsive force between nodes, the movement equation and the virtual attracting-field in the sensing area, the problems of the network partition and coverage holes which are aroused by conventional potential-field-based deployment approach is solved. Simulation results show that ESD algorithm exhibits excellent performance and expands the generalization of MSN greatly.