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Investigations related to mobiel node detection - a complex variable and markov model perspective

机译:与移动节点检测相关的研究-复杂变量和Markov模型的观点

摘要

The invention, deals with mobile, node tracking using Jordan Arc of complex integration. In case of existence of stationary node, it will be utilized for trend analysis of the motion of target node with respect to the stationary node treating it as a sensor node. The contour mapping will be applicable in case the target node"s position is identical to that of the stationary node. Markov model based nodal transition deals with probabilistic weight assignment in out degree path(s).The invention deals with such weight determination in complex domain such that the parameters include modulus of non-zero real part and that of non-zero imaginary co-efficient of transition node(s). The invention also deals with node selection on the basis of complex orientations on a node with respect to a fixed stationary node.
机译:本发明涉及使用复杂集成的乔丹弧的移动节点跟踪。在存在固定节点的情况下,它将用于对目标节点相对于将其视为传感器节点的固定节点的运动进行趋势分析。轮廓映射将在目标节点的位置与固定节点的位置相同的情况下适用。基于马尔可夫模型的节点转移处理在度数路径中的概率权重分配。本发明还基于节点相对于a的复杂取向来处理节点选择,从而使参数包括非零实部模量和非零虚部转移系数模量。固定的固定节点。

著录项

  • 公开/公告号IN2015DE01458A

    专利类型

  • 公开/公告日2015-08-21

    原文格式PDF

  • 申请/专利权人 AMRIT GHOSH;PRASUN CHAKRABARTI;

    申请/专利号IN2015DEL1458

  • 发明设计人 AMRIT GHOSH;PRASUN CHAKRABARTI;

    申请日2015-05-22

  • 分类号G06F19/24;

  • 国家 IN

  • 入库时间 2022-08-21 15:14:34

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