Low latency transmission method for ship image network data based on cloud computing
Real time transmission of massive ship images provides a guarantee for effectively monitoring the real-time navigation status of ships.Research on low latency transmission methods for ship image network data based on cloud com-puting.Combining cloud computing technology,build a ship image network data transmission platform,and store a large amount of ship network data into cloud servers through the platform's data receiving unit.The data processing unit is based on the distributed processing characteristics of cloud computing,combined with the parallel running framework Map Re-duce and the parallel K-means clustering algorithm,to parallelly mine the ship image network data in the cloud server;The channel equalization unit combines the energy consumption model of the constructed ship communication network nodes to balance the ship communication network channels,and uses the balanced channels to achieve the transmission of the mined ship image network data.The results show that this method has a high data mining rate,balanced energy overhead of each channel during data transmission,and can be as low as 3.5 kJ.The delay of transmitting ship image network data can be as low as 10.23 ms,achieving low delay transmission of data.
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