Data transmission method based on compressed sensing and decoding and forwarding
A data transmission method, decoding and forwarding technology, applied in the field of wireless sensor networks, can solve problems such as signal quality degradation, and achieve the effects of ensuring security, enhancing performance, and improving security capacity
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Embodiment 1
[0034] An embodiment of the present invention provides a data transmission method based on compressed sensing and decoding forwarding, see figure 1 , the data transmission method includes the following steps:
[0035] 101: According to the data transmission model of cooperative compression decoding and forwarding, multiple active source nodes broadcast information to all relay nodes, and the channel matrix between all source nodes and all relay nodes is used as the measurement matrix in compressed sensing technology ;
[0036] 102: Each relay node restores the superposition information received from multiple active source nodes by decoding and forwarding, and forwards the decoded information to the same destination node;
[0037] 103: The destination node stores the information from different relay nodes respectively, and restores and reconstructs the received relay signal with a reconstruction algorithm;
[0038] 104: Obtain the main channel capacity and the wiretapping cha...
Embodiment 2
[0043] Combined with the specific calculation formula, figure 2 and image 3 The scheme in Example 1 is further introduced, see the following description for details:
[0044] 201: Multiple active source nodes in the wireless sensor network broadcast information to all relay nodes, and no information is transmitted between each relay node and each eavesdropping node. At the same time, multiple eavesdropping nodes in the wireless sensor network also will receive this information;
[0045] see figure 2 , the data transmission model of cooperative compression, decoding and forwarding includes: Assume that there are A source nodes S, N relay nodes R and Z eavesdropping nodes E in the wireless sensor network. i={1,2,...,A} is used to represent different source nodes S, among which K source nodes S are active, and j={1,2,...N} is used to represent different relay nodes R , where KM , C E It represents the channel capacity of the eavesdropping node E, and the unit is bits / s / Hz...
Embodiment 3
[0072] Combine below image 3 The scheme in embodiment 1 and 2 is carried out feasibility verification, see the following description for details:
[0073] in, image 3 Indicates the influence of different eavesdropping channel conditions on the security capacity. Set the number of source nodes S to 60, the number of relay nodes R to 50, and the distance between relay node R and source node S to be 35m. The distance between E and source node S is 25m, the path loss of the main channel is set to 2.5, and the path loss of the eavesdropping channel is changed from 0.05 to 5.
[0074] For the convenience of comparison, here, the abscissa is set as the path loss ratio of the main channel and the eavesdropping channel, and then the two cases where the number of eavesdropping nodes E are 10 and 25 are respectively studied.
[0075] Depend on image 3 It can be seen that even if the path loss ratio is less than 1, that is, when the main channel condition is worse than that of the e...
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