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Continuous Access of Broadcast Data Using Artificial Pointers Under a Wireless Mobile Computing

机译:在无线移动计算下使用人工指针连续访问广播数据

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In a ubiquitous information environment, massive number of users carrying their portable computers can retrieve information anywhere and anytime using wireless mobile computing technologies. Wireless data broadcasting as a way of disseminating information to the large number of clients, has an inherent advantage by providing all types of users global access to information. An adaptive access method, which tolerates the access failure, has been proposed in an error-prone mobile environment. However the influence of version bits to deal with the updates of the broadcast data has not been exploited for the broadcast with modified but the same size and structure update. The basic idea is to distinguish the type of update that does not influence the change in the size and structure of the broadcast has been introduced. To deal with the types of updates, we classified the users in mobile computing environment into the users in system and the new users. In the proposed continuous algorithms, the user in systems record the previous result and use it efficiently to access the desired records with less number of probes in the broadcast, which is updated by a stream of same size and structure bits. In the performance analysis, the experimental results show that the proposed modified progression method has the best performance, as it requires the minimum cost to access the broadcast data.
机译:在无处不在的信息环境中,大量携带便携式计算机的用户可以使用无线移动计算技术在任何地方,任何时间检索信息。通过向所有类型的用户提供对信息的全球访问,无线数据广播作为一种向大量客户端传播信息的方式,具有固有的优势。在容易出错的移动环境中,已经提出了一种容许访问失败的自适应访问方法。但是,对于修改过但大小和结构相同的广播,尚未利用版本位对广播数据更新的影响。基本思想是区分已经引入的不影响广播大小和结构变化的更新类型。为了处理更新的类型,我们将移动计算环境中的用户分为系统用户和新用户。在提出的连续算法中,系统中的用户记录了先前的结果,并有效地使用它来访问广播中较少的探测次数的所需记录,并通过相同大小和结构位的流对其进行更新。在性能分析中,实验结果表明,所提出的改进的渐进方法具有最佳性能,因为它需要最低的访问广播数据的成本。

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