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We proposed an approach to predict the availability of volunteer sensor networks (VSN) node. It is based on the Stronger Intelligent selection (SIS). First, the availability of VSN node is analyzed and predicted based on its location. The stronger model is defined and Studied on the Optimization Rules and Solution Tactics of availability. A simple and efficient stronger searching mechanism is presented...
The initial acquisition, re-acquisition and auto tracking and controlling algorithm for SOTM mainly used the step tracking algorithm of fixed step size, and acquisition speed and tracking accuracy were difficult to achieve the optimal state at the same time. This paper proposed a step tracking algorithm of the variable step size. In this algorithm, in order to speed up acquisition speed and improve...
In order to precisely procure the Chinese person information on the web, especially distinguish from the namesake, this paper propose a clustering algorithm based on latent semantic model. It establishes for every document a latent semantic model of sentence-word matrix based on central distance, central segment, document length, etc, by building the central word library of person attributes. It clusters...
Node localization which is determining where a given node is physically or relatively located is extremely crucial for most of the applications in wireless sensor network. In this article, we review and describe the taxonomy and fundamental localization methods. The current research in WSN localization algorithms are introduced, analyzed and concluded. The point is that no single algorithm performs...
The localization algorithm in wireless sensor network is always a hot spot. Information collected by the sensors is meaningless without the position of the sensors. Now, paying little attention to 3-D space, most of the algorithms are for 2-D space. In this paper we introduce a novel algorithm for 3-D space called OBS (Optimal Beacon Selection) algorithm. In this algorithm we launched the concept...
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