A Dynamic Retransmission Method of Data in Wireless Sensor Networks Based on Compressive Sensing
A wireless sensor network, compressed sensing technology, applied in network topology, wireless communication, network traffic/resource management, etc., can solve the problem of unbalanced energy consumption data reconstruction accuracy, etc., to improve data reconstruction accuracy, reduce Data reconstruction error and the effect of improving energy utilization
Active Publication Date: 2022-03-25
CENT SOUTH UNIV
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[0008] The beneficial effects of the present invention are: the present invention proposes a network data dynamic retransmission method for the first time for the problem of unbalanced energy consumption in the compressed sensing wireless sensor network and network packet loss that has a great impact on the accuracy of data reconstruction. In areas with remaining energy, make full use of its remaining energy, dynamically calculate the maximum number of retransmissions of nodes at different locations under the condition of ensuring the network life, and retransmit data when packet loss occurs to ensure transmission accuracy
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[0015] The present invention will be further described below in conjunction with the accompanying drawings and examples. In the figure, CSDRA refers to the wireless sensor network data dynamic retransmission method proposed by the present invention, CDG refers to a traditional data routing strategy, and NMAE refers to normalized mean absolute error.
[0016] In this embodiment, all sensor nodes in the wireless sensor network are randomly deployed in a square area, and this embodiment mainly includes the following contents.
[0017] Step 1: Nodes in each area of the network undertake the calculation of data volume and energy consumption. Specifically, in order to determine the actual maximum packet loss and retransmission times that nodes in different areas of the network can actually achieve, it is first necessary to calculate the amount of data and energy consumption undertaken by nodes in each area of the network. Calculated as follows:
[0018] First, calculate the da...
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The invention discloses a method for dynamic retransmission of data in a wireless sensor network based on compressed sensing. For a wireless sensor network, in the process of data routing, since the area near the sink bears more data volume, thus As a result, nodes in the area near the aggregation node consume much more energy than other areas in the network, and the life of the nodes in the area near the aggregation node often determines the life of the entire network. And because the amount of data borne by other areas is much smaller than that of the near-convergence node area, when the network dies, the network often has a large amount of energy remaining, and this energy cannot be reused or recycled. Therefore, under the premise of guaranteeing the life of the network, the present invention makes full use of the remaining energy in the network. Based on the energy consumption in the area near the aggregation node, for nodes with remaining energy, when packet loss occurs in the data routing, according to the corresponding node’s The remaining energy dynamically determines the data retransmission strategy and retransmits data packets to reduce the packet loss rate of data routing. Compared with the previous methods, the method of the present invention greatly improves the network data transmission accuracy and reduces network data reconstruction errors .
Description
technical field [0001] The invention relates to the field of wireless communication, in particular to a data routing method of a wireless sensor network based on compressed sensing. Background technique [0002] With the deepening of research on wireless sensor networks, the popularization of wireless networks and the application of compressed sensing in wireless sensor networks, how to efficiently use the energy of wireless sensor networks, improve the accuracy of data transmission, and prolong the life of the network has become more and more important. more important. There have been a lot of researches on the optimization and improvement of compressed sensing algorithms for wireless sensor networks, but the huge impact of unreliable network packet loss on data reconstruction accuracy has been ignored, and the energy utilization efficiency of traditional wireless sensor network node working modes is low. . Aiming at the above problems, the present invention studies and i...
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IPC IPC(8): H04W28/04H04W40/10H04W52/30H04W84/18H04L1/18
CPCH04W28/04H04W40/10H04W52/30H04W84/18H04L1/18
Inventor 蒋博刘安丰滕浩钧
Owner CENT SOUTH UNIV