{"title":"基于证据理论的移动自组网集中协同频谱感知数据融合","authors":"P. Skokowski, J. Łopatka, Krzysztof Malon","doi":"10.23919/URSI48707.2020.9254038","DOIUrl":null,"url":null,"abstract":"This paper presents an efficient method of cooperative spectrum sensing for mobile radio networks with the hierarchical management structure. The network is divided into clusters controlled by cluster heads. All cluster members perform spectrum sensing using energy detectors. Sensing results are then transmitted to fusion centers in cluster heads, where they are combined using evidence theory based on Dempster-Shafer theory. The achieved simulation results show that the proposed method outperforms commonly used rules and gives a high probability of proper signal detection and low probability of false alarms.","PeriodicalId":185201,"journal":{"name":"2020 Baltic URSI Symposium (URSI)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Evidence Theory Based Data Fusion for Centralized Cooperative Spectrum Sensing in Mobile Ad-hoc Networks\",\"authors\":\"P. Skokowski, J. Łopatka, Krzysztof Malon\",\"doi\":\"10.23919/URSI48707.2020.9254038\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an efficient method of cooperative spectrum sensing for mobile radio networks with the hierarchical management structure. The network is divided into clusters controlled by cluster heads. All cluster members perform spectrum sensing using energy detectors. Sensing results are then transmitted to fusion centers in cluster heads, where they are combined using evidence theory based on Dempster-Shafer theory. The achieved simulation results show that the proposed method outperforms commonly used rules and gives a high probability of proper signal detection and low probability of false alarms.\",\"PeriodicalId\":185201,\"journal\":{\"name\":\"2020 Baltic URSI Symposium (URSI)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 Baltic URSI Symposium (URSI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/URSI48707.2020.9254038\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Baltic URSI Symposium (URSI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/URSI48707.2020.9254038","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evidence Theory Based Data Fusion for Centralized Cooperative Spectrum Sensing in Mobile Ad-hoc Networks
This paper presents an efficient method of cooperative spectrum sensing for mobile radio networks with the hierarchical management structure. The network is divided into clusters controlled by cluster heads. All cluster members perform spectrum sensing using energy detectors. Sensing results are then transmitted to fusion centers in cluster heads, where they are combined using evidence theory based on Dempster-Shafer theory. The achieved simulation results show that the proposed method outperforms commonly used rules and gives a high probability of proper signal detection and low probability of false alarms.