{"title":"基于蚁群算法的蜂窝网络节能优化","authors":"Duowei Jin, Peng Yu, Zhaowei Qu, Wenjing Li","doi":"10.1109/APNOMS.2012.6356047","DOIUrl":null,"url":null,"abstract":"For the sake of the increase of energy consumption, the emission of carbide can't be negligible. In this paper, we propose a mathematical model which adjusts the radius of base station, to figure out the problem of energy saving, while the quality of services such as the traffic volume of each base station and the service area should be satisfied. For the model, we use ant colony algorithm as a practical method to solve this problem. By using this mechanism, we can achieve the purpose of energy saving, when the traffic in a service area is low.","PeriodicalId":385920,"journal":{"name":"2012 14th Asia-Pacific Network Operations and Management Symposium (APNOMS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimization of energy saving in celluar networks using ant colony algorithm\",\"authors\":\"Duowei Jin, Peng Yu, Zhaowei Qu, Wenjing Li\",\"doi\":\"10.1109/APNOMS.2012.6356047\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For the sake of the increase of energy consumption, the emission of carbide can't be negligible. In this paper, we propose a mathematical model which adjusts the radius of base station, to figure out the problem of energy saving, while the quality of services such as the traffic volume of each base station and the service area should be satisfied. For the model, we use ant colony algorithm as a practical method to solve this problem. By using this mechanism, we can achieve the purpose of energy saving, when the traffic in a service area is low.\",\"PeriodicalId\":385920,\"journal\":{\"name\":\"2012 14th Asia-Pacific Network Operations and Management Symposium (APNOMS)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-11-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 14th Asia-Pacific Network Operations and Management Symposium (APNOMS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APNOMS.2012.6356047\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 14th Asia-Pacific Network Operations and Management Symposium (APNOMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APNOMS.2012.6356047","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimization of energy saving in celluar networks using ant colony algorithm
For the sake of the increase of energy consumption, the emission of carbide can't be negligible. In this paper, we propose a mathematical model which adjusts the radius of base station, to figure out the problem of energy saving, while the quality of services such as the traffic volume of each base station and the service area should be satisfied. For the model, we use ant colony algorithm as a practical method to solve this problem. By using this mechanism, we can achieve the purpose of energy saving, when the traffic in a service area is low.