{"title":"数据生成时间的随机化提高了预测性物联网网络的性能","authors":"Mert Nakıp, E. Gelenbe","doi":"10.1109/WF-IoT51360.2021.9595819","DOIUrl":null,"url":null,"abstract":"A challenge of IoT networks is to offer Quality of Service (QoS) and meet deadline requirements when packets from numerous IoT devices must be forwarded. Thus this paper introduces the Randomization of flow Generation Times (RGT) that smooths incoming IoT traffic so that QoS improves and packet loss is avoided. When the “Earliest Deadline First” (EDF) or “Priority based on Average Load” (PAL) scheduling algorithms are used, simulation results show that RGT provides significantly better performance, for a small additional computational cost at each device, providing a useful performance improvement for IoT networks.","PeriodicalId":184138,"journal":{"name":"2021 IEEE 7th World Forum on Internet of Things (WF-IoT)","volume":"142 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Randomization of Data Generation Times Improves Performance of Predictive IoT Networks\",\"authors\":\"Mert Nakıp, E. Gelenbe\",\"doi\":\"10.1109/WF-IoT51360.2021.9595819\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A challenge of IoT networks is to offer Quality of Service (QoS) and meet deadline requirements when packets from numerous IoT devices must be forwarded. Thus this paper introduces the Randomization of flow Generation Times (RGT) that smooths incoming IoT traffic so that QoS improves and packet loss is avoided. When the “Earliest Deadline First” (EDF) or “Priority based on Average Load” (PAL) scheduling algorithms are used, simulation results show that RGT provides significantly better performance, for a small additional computational cost at each device, providing a useful performance improvement for IoT networks.\",\"PeriodicalId\":184138,\"journal\":{\"name\":\"2021 IEEE 7th World Forum on Internet of Things (WF-IoT)\",\"volume\":\"142 1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-06-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 7th World Forum on Internet of Things (WF-IoT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WF-IoT51360.2021.9595819\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 7th World Forum on Internet of Things (WF-IoT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WF-IoT51360.2021.9595819","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Randomization of Data Generation Times Improves Performance of Predictive IoT Networks
A challenge of IoT networks is to offer Quality of Service (QoS) and meet deadline requirements when packets from numerous IoT devices must be forwarded. Thus this paper introduces the Randomization of flow Generation Times (RGT) that smooths incoming IoT traffic so that QoS improves and packet loss is avoided. When the “Earliest Deadline First” (EDF) or “Priority based on Average Load” (PAL) scheduling algorithms are used, simulation results show that RGT provides significantly better performance, for a small additional computational cost at each device, providing a useful performance improvement for IoT networks.