Random routing method facing matrix type wireless sensor network distribution weighing
A wireless sensor, matrix-type technology, applied in wireless communication, transmission system, data exchange through path configuration, etc., can solve the problems of signal reconstruction performance reduction, uneven distribution of non-zero value positions in the observation matrix, etc.
Inactive Publication Date: 2012-11-21
ZHEJIANG UNIV
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This is also reflected in the non-uniform distribution of non-zero value positions of the observation matrix formed by routing. If the important feature components of the information to be recovered appear on those less experienced nodes, the performance of signal reconstruction in compressed sensing will be reduced.
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[0042] In the present invention, the wireless sensor network has a matrix structure in the form of a checkerboard grid. According to the relative position of the sink node and the sensor node coverage area in the matrix wireless sensor network, the network includes four topologies: the sink node is located above the sensor node coverage area, such as figure 1 and figure 2 As shown; the sink node is located below the area covered by the sensor nodes, such as image 3 Shown; the sink node is located on the left of the area covered by the sensor nodes, such as Figure 4 Shown; the sink node is located on the right side of the area covered by the sensor nodes, such as Figure 5 shown. by figure 1 For example, the sink node of the wireless sensor network is located above the area covered by N sensor nodes, and the topology of the sensor nodes of the wireless sensor network is a square matrix (ie Matrix), the sensor nodes are evenly distributed at the vertices of each small g...
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The invention discloses a random routing method facing matrix type wireless sensor network distribution weighing, which comprises the following steps: (1) setting the probability that a sensor node in the network is selected as a path starting node; (2) taking the sensor node which is randomly selected according to the probability as the path starting node and the node ready for sending data packets; (3) selectively receiving the next-hop node of the data packets by the node ready for sending the data packets by judging the node number; (4) sending the data packets to the selected next-hop node by the node ready for sending the data packets; after the next-hop node receives the data packets, judging whether the number information of the data packets contains the number of the next-hop node or not, thereby updating the data packets received by the next-hop node or taking the received data packets as the data packets ready for sending; then taking the next-hop node as the node ready forsending the data packets in the next-step routing to execute the step (3); and (5) receiving the data packets by a sink node, thereby finishing the random routing.
Description
technical field [0001] The invention relates to a routing selection method for a matrix wireless sensor network. Background technique [0002] Compressed Sensing (Compressed Sensing) is an emerging signal processing technology in recent years. Its core idea is to combine data sampling and compression. The algorithm recovers the signal from the measured values. Compressed sensing has two basic requirements: the sparsity of the signal, and the non-correlation between the observation base (observation matrix) and the transformation base (transformation matrix). For any signal in nature, there is a specific representation space, which makes the signal sparse in this space. It has been proved by relevant theories that a random matrix, that is, a matrix whose elements are random numbers, has a good non-correlation with a fixed transformation basis. [0003] The mathematical principle of compressed sensing is as follows: Let the transformation coefficients of the vector signal X...
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IPC IPC(8): H04L12/28H04W40/14H04L29/06
Inventor 夏羽王晓赵志峰张宏纲赵宁
Owner ZHEJIANG UNIV