Consumer oriented IoT data discovery and retrieval in information centric networks
Consumer oriented IoT data discovery and retrieval in information centric networks
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信息中心网络中面向消费者的物联网数据发现和检索
DOI：
10.1109/pimrc.2017.8292196
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Guoqiang Wang
中科院分区：
文献类型：
--
作者：
Lijun Dong;Guoqiang Wang
本文观察到物联网数据可能与许多语义信息相关联的事实。在初始化请求之前，消费者通常不知道物联网数据的名称，相反，消费者可以指定一些与返回数据匹配的主要语义信息，例如位置，时间。本文提出了在ICN体系结构中提供同步数据发现和检索支持的机制。路由表可以根据数据的主要语义信息进行聚合。通过让消费者灵活地容忍请求数据和返回数据之间一定程度的语义偏差，可以减少网络资源和消费者的成本。我们通过物联网用例分析了兴趣消息在网络中遍历的平均跳数。性能评估表明，随着路由路由器中缓存概率的增加以及语义信息匹配概率的增加，成本显著降低。
This paper observes the fact that an IoT data may be associated with a lot of semantics information. And a consumer usually does not know the name of the IoT data before initializing the request, instead the consumer can specify some major semantics information to be matched by the returned data, e.g. location, time. The paper proposes mechanisms to provide the simultaneous data discovery and retrieval support in ICN architectures. The routing table can be aggregated based on the major semantics information of data. The network resource and consumer's cost can be reduced by giving flexibility to the consumer in tolerating certain degree of semantics deviation between the requested and returned data. We give the analysis on the average number of hops that the interest message traversed in the network with an IoT use case. The performance evaluation shows the significant cost reduction with the increased caching probability in en-route routers as well as the increased semantics information matching probabilities.