论文标题
萨拉 - 异源无线网络的语义访问点资源分配服务
SARA -- A Semantic Access Point Resource Allocation Service for Heterogenous Wireless Networks
论文作者
论文摘要
在本文中，我们介绍了Sara，这是一种用于异质无线网络的语义访问点资源分配服务，具有各种无线访问技术。通过自动对基于知识的自主网络管理系统提供的完整系统的知识库进行推理-Seanet，Sara可以选择访问点，从而在不同的访问技术中提供最佳的服务质量。基于本体辅助知识的系统Seanet，Sara还可以根据客户定义的规则来调整访问点选择策略。基于混合访问技术和各种规模的基于模拟网络的评估结果表明，Sara显然能够改善通道状况。与当前AP选择算法的比较表明，SARA优于现有的AP选择算法。在时间支出方面的开销是合理的，比传统的接入点选择方法更快。
In this paper, we present SARA, a Semantic Access point Resource Allocation service for heterogenous wireless networks with various wireless access technologies existing together. By automatically reasoning on the knowledge base of the full system provided by a knowledge based autonomic network management system -- SEANET, SARA selects the access point providing the best quality of service among the different access technologies. Based on an ontology assisted knowledge based system SEANET, SARA can also adapt the access point selection strategy according to customer defined rules automatically. Results of our evaluation based on emulated networks with hybrid access technologies and various scales show that SARA is able to improve the channel condition, in terms of throughput, evidently. Comparisons with current AP selection algorithms demonstrate that SARA outperforms the existing AP selection algorithms. The overhead in terms of time expense is reasonable and is shown to be faster than traditional access point selection approaches.
