Multipath Transmission of Marine Electromagnetic Data Based on Distributed Sensors

The virtual MIMO and dynamic power management technology are introduced into WSN, and the energy balance and delay of distributed sensors are analyzed. The variation of energy consumption ratio of virtual MIMO network and SISO network is analyzed under the conditions of different cluster domain size, node distribution density, path loss index, and convergence node. Genetic algorithm is used to optimize the proportion of cluster heads with the longest node lifetime under certain node distribution density. The OFDM system is introduced. According to the principle of the system, the relationship between the residual energy value of the nodes and the load ratio of each path is established for cluster head election. According to the calculated values, the cluster heads are evenly distributed in the region and the clustering area is adaptively adjusted. When a cluster head node applies to join a cluster, the distance from node to cluster head is calculated. The minimum data flow path of the total energy consumption is selected according to the calculated value. Then the energy consumption balance of the data transmission path is ensured, and the multi-path fast transmission of the marine electromagnetic data is realized. Experimental results show that the proposed method can effectively transmit electromagnetic data, and the data transmission performance is better than the experimental comparison method.