{"title":"基于模糊逻辑的集群系统垂直切换算法","authors":"Lu Zhang, Lu Ge, Xin Su, Jie Zeng","doi":"10.1109/WOCC.2017.7928995","DOIUrl":null,"url":null,"abstract":"In this paper, we proposed a multiple attributes handover algorithm based on fuzzy logic. The algorithm utilizes received signal strength (RSS), forecasting RSS, delay, network loads and battery utilization as parameters to design of fuzzy logic system, and the candidate network of the fuzzy logic system is reduced by the gray prediction algorithm, using fuzzy logic method processed the parameters, and then obtain the quantized value of each network parameters membership. At last calculated network performance evaluation values to make a handover decision. Meanwhile, this algorithm considered the group user types and priority. We set up simulation scenarios to test the effectiveness of the algorithm, the experimental results showed that our proposed handover scheme can reduce the handover number, ensure QoS and reduce network load.","PeriodicalId":6471,"journal":{"name":"2017 26th Wireless and Optical Communication Conference (WOCC)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Fuzzy logic based vertical handover algorithm for trunking system\",\"authors\":\"Lu Zhang, Lu Ge, Xin Su, Jie Zeng\",\"doi\":\"10.1109/WOCC.2017.7928995\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we proposed a multiple attributes handover algorithm based on fuzzy logic. The algorithm utilizes received signal strength (RSS), forecasting RSS, delay, network loads and battery utilization as parameters to design of fuzzy logic system, and the candidate network of the fuzzy logic system is reduced by the gray prediction algorithm, using fuzzy logic method processed the parameters, and then obtain the quantized value of each network parameters membership. At last calculated network performance evaluation values to make a handover decision. Meanwhile, this algorithm considered the group user types and priority. We set up simulation scenarios to test the effectiveness of the algorithm, the experimental results showed that our proposed handover scheme can reduce the handover number, ensure QoS and reduce network load.\",\"PeriodicalId\":6471,\"journal\":{\"name\":\"2017 26th Wireless and Optical Communication Conference (WOCC)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 26th Wireless and Optical Communication Conference (WOCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WOCC.2017.7928995\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 26th Wireless and Optical Communication Conference (WOCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WOCC.2017.7928995","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fuzzy logic based vertical handover algorithm for trunking system
In this paper, we proposed a multiple attributes handover algorithm based on fuzzy logic. The algorithm utilizes received signal strength (RSS), forecasting RSS, delay, network loads and battery utilization as parameters to design of fuzzy logic system, and the candidate network of the fuzzy logic system is reduced by the gray prediction algorithm, using fuzzy logic method processed the parameters, and then obtain the quantized value of each network parameters membership. At last calculated network performance evaluation values to make a handover decision. Meanwhile, this algorithm considered the group user types and priority. We set up simulation scenarios to test the effectiveness of the algorithm, the experimental results showed that our proposed handover scheme can reduce the handover number, ensure QoS and reduce network load.