引用本文:周宇,王兴伟,李婕,黄敏.基于快速连续蚁群算法的QoS切换决策机制.软件学报,2016,27(S2):291-300
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基于快速连续蚁群算法的QoS切换决策机制
周宇1, 王兴伟2, 李婕1, 黄敏3
1.东北大学 计算机科学与工程学院, 辽宁 沈阳 110819;2.东北大学 软件学院, 辽宁 沈阳 110819;3.东北大学 信息科学与工程学院, 辽宁 沈阳 110819
摘要:
随着人们对移动网络服务需求的日益增长,用户需要在复杂的异构网络中实现不同接入技术之间的无缝切换,因此选择总最佳连接并提供服务质量保证的切换决策成为下一代互联网研究的关键内容.为了更好地满足用户的需求,在综合考虑网络信息的不确定性、用户服务质量需求、用户偏好、用户愿意支付的费用以及网络供应商的收益等因素的前提下,设计了基于快速连续蚁群算法的切换决策机制,并引入协商博弈和Nash均衡思想来解决用户之间的串谋问题以保证切换决策的公平性.仿真结果表明,设计的切换决策机制在满足用户服务质量需求的同时,不仅使双方的效用最大,并且最契合用户的偏好,能够很好地解决下一代互联网中支持总最佳连接的切换决策问题.
关键词:  下一代互联网  总最佳连接  服务质量  切换决策  快速连续蚁群算法  效用
DOI:
分类号:
基金项目:国家杰出青年科学基金(61225012,71325002);国家自然科学基金(61572123,61502092);辽宁省百千万人才工程项目(2013921068);中央高校基本科研业务费专项资金(N151604001);中国博士后科学基金(2016M591449)
16043. htm The QoS Supported Handover Decision Scheme Based on Fast Continuous Ant Colony Algorithm
ZHOU Yu1, WANG Xing-Wei2, LI Jie1, HUANG Min3
1.College of Computer Science and Engineering, Northeastern University, Shenyang 110819, China;2.College of Software, Northeastern University, Shenyang 110819, China;3.College of Information Science and Engineering, Northeastern University, Shenyang 110819, China
Abstract:
With the increasing demand for mobile network services, users need to realize the seamless handover between different access technologies in the complex heterogeneous networks, so the handover decision scheme with always best connected support and the quality of service has become the key research content of the next generation Internet. In order to satisfy users' demand, a handoff decision scheme is designed based on the fast continuous ant colony algorithm, considering the fuzzy network information, the user quality of service requirement, user preferences, charges that the user is willing to pay and the revenue of the network provider. The knowledge of negotiation game and Nash equilibrium concept are introduced to solve the collusion between users to ensure the fairness of the handoff decision. Simulation results show that the handoff decision scheme designed in this paper can meet the quality of service requirement of the user,maximize the utility of both sides and best fit the user's preference,which has a better performance in solving the always best connected supported handoff decision problem in next generation Internet.
Key words:  next generation Internet  always best connected  quality of service  handover decision  fast continuous ant colony algorithm  utility