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机构地区:[1]信息工程大学,河南郑州450002
出 处:《信息工程大学学报》2013年第2期229-234,共6页Journal of Information Engineering University
摘 要:在物联网、区域管理和应急救援等领域,对大规模设备协同的需求越来越高。针对如何在大规模设备协同系统中快速且有效地找到所需资源这一问题,文章提出一种简单有效的设备资源发现机制。首先使用资源描述框架(RDF)对系统中各种设备资源进行抽象;其次为提高系统的可伸缩性,节点按兴趣聚类成簇;然后采用叠加距离的语义路由算法实现跨簇的资源共享和查询;最后进行模拟实验。实验结果证明,利用布隆过滤器可以在很小的误判率下实现高效地聚合资源信息和帮助寻找查询路线;叠加距离的语义路由算法能够直接找到目标资源的位置,避免泛洪查询请求到其它无关的节点。该方法简单高效,为大规模设备协同系统软件的开发提供了基础。In the field of Internet of Things, regional management and emergency rescue, the demand for large-scale device collaboration increases. To solve the problem of finding necessary resources quickly and effectively in the large-scale device collaboration, this paper presents a simple and effective method for device resource discovery. Firstly, we use Resource Description Framework (RDF) for device abstraction. Secondly, in order to improve the scatability, nodes are clustered according to their interests. Thirdly, overlay distance semantic routing achieves inter-cluster resource sharing and query. Finally, evaluating parameters and experimental results prove that Bloom filer can polymerize device information and help find the query route efficiently under low percentage of false positive. Overlay distance semantic routing can find the location of the target resource directly, prevent from flooding query to other unrelated nodes and reduce the load. This method is simple and efficient, and provides a foundation for the development of large-scale device collaboration system software.
分 类 号:TP399[自动化与计算机技术—计算机应用技术]
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