{"title":"Allocation of Sensor Nodes Or Base Stations in Inhomogeneous Propagation Environments","authors":"Jun-Hyuck Lee, M. Takematsu, K. Uchida, J. Honda","doi":"10.1109/CISIS.2013.21","DOIUrl":null,"url":null,"abstract":"In this paper, we discuss the computational method for allocating sensing nodes for sensor networks or base stations for cellular networks in inhomogeneous propagation environments. First, we consider the 1-ray model combined with the 2-ray model using the amplitude modification factor ∝ and the propagation order of distance β as well as the field matching factor γ. Second, we introduce an expression to compute communication distance. Third, we apply PSO to optimally allocate sensor nodes or base stations by use of the communication distance function derived from the communication distance. In numerical examples, we show an adaptive algorithm for generating inhomogeneous triangular cells to achieve optimal allocations of base stations.","PeriodicalId":155467,"journal":{"name":"2013 Seventh International Conference on Complex, Intelligent, and Software Intensive Systems","volume":"122 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Seventh International Conference on Complex, Intelligent, and Software Intensive Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISIS.2013.21","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, we discuss the computational method for allocating sensing nodes for sensor networks or base stations for cellular networks in inhomogeneous propagation environments. First, we consider the 1-ray model combined with the 2-ray model using the amplitude modification factor ∝ and the propagation order of distance β as well as the field matching factor γ. Second, we introduce an expression to compute communication distance. Third, we apply PSO to optimally allocate sensor nodes or base stations by use of the communication distance function derived from the communication distance. In numerical examples, we show an adaptive algorithm for generating inhomogeneous triangular cells to achieve optimal allocations of base stations.