{"title":"用于传感器监测和数据集生成的室内移动无线传感器网络的两相动态仿真和工具箱","authors":"Ahlam Mallak, Akash Sonnad, M. Fathi","doi":"10.1109/CSCI49370.2019.00224","DOIUrl":null,"url":null,"abstract":"A Mobile Wireless Sensor Network (MWSN) is a network of mobile sensor nodes that are spatially separated in an open or closed space, which work altogether to sense various system environmental and physical parameters. The state-of-the art is full of approaches for modelling WSNs and MWSNs using different simulation tools and programming languages. Such models require the system expert interference to change the simulated model itself whenever any change is required. Without this interference or having knowledge of the simulated system, these models tend to generate fixed-case sensor data and lack the dynamicity and the ability for further user-specific changes at run-time. In this paper, a two-phase dynamic simulation toolbox -so-called 'SenGen'- is presented and tested, where a full simulation of an indoor MWSN system is established using Simulink. Then a Graphical User Interface (GUI) is created with MATLAB, to overall perform as a dynamic toolbox for sensor data generation in MWSNs.","PeriodicalId":103662,"journal":{"name":"2019 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"SenGen: A Two-Phase Dynamic Simulation and Toolbox of an Indoor Mobile Wireless Sensor Network for Sensor Monitoring and Dataset Generation\",\"authors\":\"Ahlam Mallak, Akash Sonnad, M. Fathi\",\"doi\":\"10.1109/CSCI49370.2019.00224\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A Mobile Wireless Sensor Network (MWSN) is a network of mobile sensor nodes that are spatially separated in an open or closed space, which work altogether to sense various system environmental and physical parameters. The state-of-the art is full of approaches for modelling WSNs and MWSNs using different simulation tools and programming languages. Such models require the system expert interference to change the simulated model itself whenever any change is required. Without this interference or having knowledge of the simulated system, these models tend to generate fixed-case sensor data and lack the dynamicity and the ability for further user-specific changes at run-time. In this paper, a two-phase dynamic simulation toolbox -so-called 'SenGen'- is presented and tested, where a full simulation of an indoor MWSN system is established using Simulink. Then a Graphical User Interface (GUI) is created with MATLAB, to overall perform as a dynamic toolbox for sensor data generation in MWSNs.\",\"PeriodicalId\":103662,\"journal\":{\"name\":\"2019 International Conference on Computational Science and Computational Intelligence (CSCI)\",\"volume\":\"94 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Computational Science and Computational Intelligence (CSCI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSCI49370.2019.00224\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Computational Science and Computational Intelligence (CSCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSCI49370.2019.00224","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
SenGen: A Two-Phase Dynamic Simulation and Toolbox of an Indoor Mobile Wireless Sensor Network for Sensor Monitoring and Dataset Generation
A Mobile Wireless Sensor Network (MWSN) is a network of mobile sensor nodes that are spatially separated in an open or closed space, which work altogether to sense various system environmental and physical parameters. The state-of-the art is full of approaches for modelling WSNs and MWSNs using different simulation tools and programming languages. Such models require the system expert interference to change the simulated model itself whenever any change is required. Without this interference or having knowledge of the simulated system, these models tend to generate fixed-case sensor data and lack the dynamicity and the ability for further user-specific changes at run-time. In this paper, a two-phase dynamic simulation toolbox -so-called 'SenGen'- is presented and tested, where a full simulation of an indoor MWSN system is established using Simulink. Then a Graphical User Interface (GUI) is created with MATLAB, to overall perform as a dynamic toolbox for sensor data generation in MWSNs.