Simulation of Dynamic Data Integrity Storage in Multi-Channel Wireless Communication Networks
When data is transmitted in multiple channels,it is easily affected by the instability of wireless com-munication network connection,and there are multiple nodes competing for the same resource,leading to data conflicts and affecting the integrity of data storage.Therefore,this article presented a storage method for dynamic data integrity in multi-channel wireless communication networks.Firstly,we calculated the energy consumption of sending and re-ceiving nodes,and then used the hierarchical clustering algorithm to cluster all nodes in the network monitoring area in combination with the density,thus obtaining the perceptual data set.Secondly,we collected dynamic data by the least square method.Meanwhile,we mapped the dynamic data in high-dimensional networks to the hash code by the optimized spectral hash algorithm.Moreover,we adopted the hash mapping method based on Cauchy distribution to calculate the probability density function.According to the mapping interval,we realized the dynamic data integrity storage in multi-channel wireless communication networks.Simulation results prove that the packet loss rate of the proposed method is always less than 2%,the throughput rate is gradually close to 98%,and the highest resource usage is only 14.6%,so we can obtain satisfactory results of network dynamic data integrity storage.
Multi-channelWireless communication networkDynamic dataIntegrity storageOptimized spec-tral hashing algorithm
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