{"title":"基于能量感知的移动自组网资源分配算法","authors":"Bing-Qing Han, Linyuan Liu","doi":"10.1109/ICACI.2012.6463113","DOIUrl":null,"url":null,"abstract":"Energy efficiency is a key factor in the design of ad hoc networks. In this paper, we adopt the network utility maximization framework for joint power and rate optimization at both transport and physical layer. Then, we propose a novel energy-aware resource allocation algorithm by integrating the power cost into the objective function. The proposed algorithm has been implemented in a distributed manner. Simulation results show that the proposed algorithm not only has good convergence, but also improve the energy efficiency of the network significantly.","PeriodicalId":404759,"journal":{"name":"2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Energy-aware resource allocation algorithm for mobile ad hoc networks\",\"authors\":\"Bing-Qing Han, Linyuan Liu\",\"doi\":\"10.1109/ICACI.2012.6463113\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Energy efficiency is a key factor in the design of ad hoc networks. In this paper, we adopt the network utility maximization framework for joint power and rate optimization at both transport and physical layer. Then, we propose a novel energy-aware resource allocation algorithm by integrating the power cost into the objective function. The proposed algorithm has been implemented in a distributed manner. Simulation results show that the proposed algorithm not only has good convergence, but also improve the energy efficiency of the network significantly.\",\"PeriodicalId\":404759,\"journal\":{\"name\":\"2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)\",\"volume\":\"72 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICACI.2012.6463113\",\"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 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACI.2012.6463113","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Energy-aware resource allocation algorithm for mobile ad hoc networks
Energy efficiency is a key factor in the design of ad hoc networks. In this paper, we adopt the network utility maximization framework for joint power and rate optimization at both transport and physical layer. Then, we propose a novel energy-aware resource allocation algorithm by integrating the power cost into the objective function. The proposed algorithm has been implemented in a distributed manner. Simulation results show that the proposed algorithm not only has good convergence, but also improve the energy efficiency of the network significantly.