认知网络基于跨层感知的接入选择机制
发布时间：2019-06-07 16:34
【摘要】：选择最优接入网络是确保网络资源有效分配和提高网络整体性能的有效手段。提出一种基于跨层感知的接入选择方法 CN_CLA,构建跨层感知框架模型以获取影响接入网性能的主要评估参数,采用模糊理论对可接入网络的性能进行综合评测,应用量子遗传算法对评判权值进行优化,最终实现接入网络的智能选择。实验结果表明,CN_CLA能够在无用户干涉情况下合理地选择接入网络,并在吞吐量、时延、会话完成率、分组丢失率等方面优于链路容量法、H_RSSI_S及AS_FTM接入选择算法。
[Abstract]:Choosing the optimal access network is an effective means to ensure the effective allocation of network resources and improve the overall performance of the network. In this paper, an access selection method based on cross-layer perception (CN_CLA,) is proposed to construct a cross-layer sensing framework model to obtain the main evaluation parameters that affect the performance of access networks. Fuzzy theory is used to evaluate the performance of accessible networks. Quantum genetic algorithm (QGA) is used to optimize the evaluation weights, and finally the intelligent selection of access network is realized. The experimental results show that CN_CLA can reasonably select the access network without user interference, and is superior to the link capacity method in throughput, delay, session completion rate, packet loss rate and so on. H_RSSI_S and AS_FTM access selection algorithm.
【作者单位】： 哈尔滨工程大学计算机科学与技术学院;哈尔滨理工大学管理学院;
【基金】：国家自然科学基金资助项目(61370212,61402127,61502118) 教育部博士点基金优先发展领域基金资助项目(20122304130002) 黑龙江省自然科学重点基金资助项目(ZD201102) 中央高校基本科研业务费专项基金资助项目(HEUCF100601,HEUCFZ1213) 黑龙江省博士后基金资助项目(LBH-210204) 黑龙江省自然科学基金资助项目(F2015029)~~
【分类号】：TN915.6
[Abstract]:Choosing the optimal access network is an effective means to ensure the effective allocation of network resources and improve the overall performance of the network. In this paper, an access selection method based on cross-layer perception (CN_CLA,) is proposed to construct a cross-layer sensing framework model to obtain the main evaluation parameters that affect the performance of access networks. Fuzzy theory is used to evaluate the performance of accessible networks. Quantum genetic algorithm (QGA) is used to optimize the evaluation weights, and finally the intelligent selection of access network is realized. The experimental results show that CN_CLA can reasonably select the access network without user interference, and is superior to the link capacity method in throughput, delay, session completion rate, packet loss rate and so on. H_RSSI_S and AS_FTM access selection algorithm.
【作者单位】： 哈尔滨工程大学计算机科学与技术学院;哈尔滨理工大学管理学院;
【基金】：国家自然科学基金资助项目(61370212,61402127,61502118) 教育部博士点基金优先发展领域基金资助项目(20122304130002) 黑龙江省自然科学重点基金资助项目(ZD201102) 中央高校基本科研业务费专项基金资助项目(HEUCF100601,HEUCFZ1213) 黑龙江省博士后基金资助项目(LBH-210204) 黑龙江省自然科学基金资助项目(F2015029)~~
【分类号】：TN915.6
【参考文献】
相关期刊论文 前2条
1 陈前斌;周伟光;柴蓉;唐伦;;基于博弈论的异构融合网络接入选择方法研究[J];计算机学报;2010年09期
2 石文孝;范绍帅;王g，
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