{"title":"智能配电网的异构无线网络选择算法","authors":"Jiangyu Yan, Xiaoyan Wang, Shuxian Li, Liangrui Tang","doi":"10.1109/FSKD.2016.7603480","DOIUrl":null,"url":null,"abstract":"In order to meet the smart distribution grid's demand for communicating, a heterogeneous wireless network selection model is built. This model has 3 goals, real-time services' blocking rate, non-real-time services' mean transmission time, and network load. And the model is simulated by using the quantum clonal immune multi-objective optimization algorithm. Compared to the MLB algorithm and RBF-FNN algorithm, the simulating results show that the proposed algorithm has better performance in real-time service blocking rate, mean transmission time of non-real-time services and network load balancing.","PeriodicalId":373155,"journal":{"name":"2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A heterogeneous wireless network selection algorithm for smart distribution grid\",\"authors\":\"Jiangyu Yan, Xiaoyan Wang, Shuxian Li, Liangrui Tang\",\"doi\":\"10.1109/FSKD.2016.7603480\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to meet the smart distribution grid's demand for communicating, a heterogeneous wireless network selection model is built. This model has 3 goals, real-time services' blocking rate, non-real-time services' mean transmission time, and network load. And the model is simulated by using the quantum clonal immune multi-objective optimization algorithm. Compared to the MLB algorithm and RBF-FNN algorithm, the simulating results show that the proposed algorithm has better performance in real-time service blocking rate, mean transmission time of non-real-time services and network load balancing.\",\"PeriodicalId\":373155,\"journal\":{\"name\":\"2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FSKD.2016.7603480\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FSKD.2016.7603480","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A heterogeneous wireless network selection algorithm for smart distribution grid
In order to meet the smart distribution grid's demand for communicating, a heterogeneous wireless network selection model is built. This model has 3 goals, real-time services' blocking rate, non-real-time services' mean transmission time, and network load. And the model is simulated by using the quantum clonal immune multi-objective optimization algorithm. Compared to the MLB algorithm and RBF-FNN algorithm, the simulating results show that the proposed algorithm has better performance in real-time service blocking rate, mean transmission time of non-real-time services and network load balancing.