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首页> 外文期刊>IEEE Transactions on Knowledge and Data Engineering >Adaptive Broadcasting for Similarity Queries in Wireless Content Delivery Systems
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Adaptive Broadcasting for Similarity Queries in Wireless Content Delivery Systems

机译：无线内容传递系统中针对相似性查询的自适应广播

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摘要

We present a new adaptive and energy-efficient broadcast dissemination model that supports flexible responses to client requests. In current broadcast dissemination models, clients must specify precisely what documents they require, and servers disseminate exactly those documents. This approach can be impractical, since in practice, clients may know the characteristics of the documents, but not the document names or IDs. In our model, clients specify the required document using attributes, and servers broadcast documents that match client requests at a prespecified level of similarity. A single document may satisfy several clients, so the server broadcasts a minimal set of documents that achieves a desired level of satisfaction in the client population. We introduce a mechanism for the server to obtain randomized feedback from clients to adapt its broadcast program to client needs. Finally, the server integrates a selective tune-in scheme based on approximate index matching to allow clients to conserve energy. Our simulation results show that our model captures client interest patterns efficiently and accurately and scales very well with the number of clients, while reducing overall client average waiting times. The selective tune-in scheme can considerably reduce the consumption of client energy with moderate waiting time overhead.
机译：我们提出了一种新的自适应且高能效的广播传播模型，该模型支持对客户请求的灵活响应。在当前的广播传播模型中，客户端必须精确地指定他们需要的文档，而服务器必须精确地传播那些文档。这种方法可能不切实际，因为在实践中，客户可能知道文档的特征，但不知道文档名称或ID。在我们的模型中，客户端使用属性指定所需的文档，服务器以预定的相似度广播与客户端请求匹配的文档。单个文档可能会满足多个客户，因此服务器会广播最少的一组文档，以使客户群体达到所需的满意水平。我们引入一种机制，使服务器从客户端获取随机反馈，以使其广播程序适应客户端需求。最后，服务器基于近似索引匹配集成了选择性调入方案，以允许客户节省能源。我们的仿真结果表明，我们的模型有效，准确地捕获了客户的兴趣模式，并随着客户数量的增加而很好地扩展，同时减少了总体客户平均等待时间。选择性调入方案可以以适度的等待时间开销显着减少客户端能量的消耗。

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