Self-positioning method of sensor network node based on distance size ordinal relation
A sensor network and sequential relationship technology, applied in positioning, instruments, radio wave measurement systems, etc., can solve problems such as difficult node communication, impossible distance measurement, and high dependence on the accuracy of positioning algorithms
Inactive Publication Date: 2009-01-28
TSINGHUA UNIV
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[0012] This mechanism that relies on the specific value of the distance measurement has several weaknesses: 1. The accuracy of the positioning algorithm is highly dependent on the accuracy of the distance measurement value; 2. The harsh electromagnetic propagation environment in the real network will lead to difficulties in communication between nodes , so that the distance of some node pairs cannot be measured
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[0084] In RMLE, since the order relation information used is only a function of the direct measurement value, σ can be reduced to some extent 2 d Impact. For example, for the distance δ between any two nodes ij and δ kl , as long as the measurement error caused by noise is less than / δ ij -δ kl / , the sequence relationship between them can be consistent with the actual. / δ ij -δ kl / This error margin is what really makes the RMLE robust to measurement noise.
[0085] Detailed description will be given below.
[0086] RMLE positioning is divided into two phases: relative positioning phase and absolute positioning phase. Relative positioning uses maximum likelihood estimation to obtain the optimal relative topology of the network in a statistical sense. In the absolute positioning stage, the multidimensional scaling analysis method (MDS) is used to convert the relative topology into an absolute topology.
[0087] The relative positioning phase consists of the following ...
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The invention provides a sensor network node self-positioning method based on the relation of distance, size and sequence, belonging to the field of wireless sensor network self-positioning technique. The method of the invention is characterized in that the method sequentially comprises the steps as follows: node establishing, routine establishing and data transmission, network connecting information extracting, node relative coordinate positioning, absolute coordinate converting, compute result outputting and the like. When the relative coordinate of the node is being positioned, the relation of distance, size and sequence of the shortest path distance is used for obtaining the initial estimation topology of the node position; based on the initial estimation topology, a logarithm likelihood function of optimum node distance matrix and inverse solution Euclidean distance used as initial estimation topology; subsequently, an adjacent module comparison method is used to alternatively iterate the optimum distance matrix and the Euclidean distance; the method of the invention is not dependent on the detailed measurement value of the distance, only uses the relative sequence relation of the distances between nodes and has unique advantages.
Description
technical field [0001] The invention belongs to the field of wireless self-organizing network self-positioning, and specifically includes: a wireless sensor network self-positioning technology, a statistical signal processing method, and a multidimensional scale analysis technology. Background technique [0002] The rapid development of Microelectronics Integration (MEMS) technology has laid the foundation for the design and implementation of System-on-Chip (SOC), making it possible to integrate a variety of sensors and manufacture miniaturized, low-cost, and multi-functional sensor nodes. The wireless sensor network composed of a large number of MEMS sensor nodes has been widely used in many fields such as military operations, environmental monitoring, medical diagnosis, home entertainment, space exploration and commercial manufacturing. Different from the traditional wireless ad hoc network, the wireless sensor network is mainly aimed at monitoring the physical world. It i...
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IPC IPC(8): G01S5/02G01S5/14H04W64/00
Inventor 张林张宇山秀明
Owner TSINGHUA UNIV