To solve the problem that the construction algorithm of multi-source multicast network coding costs long convergence time, a deterministic layered construction algorithm based on network coding was proposed. On the basis of existing studies, a virtual source was used for virtual trial. Firstly, the nodes with non-full rank local coding matrix were determined layer-by-layer by decision tree algorithm. Then, the local encoding coefficients of the upper transform nodes were reconstructed and a new encoding vector was generated. Finally, the new encoding vector was transmitted to the lower node corresponding to it, and the local coding matrix of the lower node was full rank, so a feasible coding scheme was obtained to realize network coding. Moreover, when redundant data is found in some links, pruning branches method was implemented to improve bandwidth utilization. The algorithm only needs one virtual trial multicast in comparison with the Sink Nodes Feedback Deterministic Network Coding (SNFDNC), and the simulation results show that the convergence time of the proposed algorithm is shorter in the medium scale network, and the average transmission rate of multicast communication is further improved.
Concerning the shortcomings in improving the sensing ability and reducing the amount of data transmission of the conventional dual-threshold cooperative spectrum sensing under the communication environment of uncertain noise, an improved dual-threshold cooperative spectrum sensing algorithm based on two-step fusion was introduced in Fusion Center (FC). Firstly, this algorithm got rid of the negative influences of some drop-out users by filtering all cognitive users. Then set the dual-threshold adaptively according to the uncertainty of the noise to strengthen the sensing adaptability of system under uncertain noise circumstance. Finally, by adopting a strategy of two-step fusion in FC, this algorithm made a compromise between the high detection ability and low amount of the data transmission. Compared with the conventional dual-threshold spectrum sensing algorithm, the theoretical analysis and simulation indicate that the proposed algorithm can not only avoid the cognitive failure and enhance the cognitive performance on the condition of a low data transmission, but also show an obvious improvement under a high noise uncertainty.
In order to solve the problems of digital image encryption algorithm including scheme complexity and poor security, a DNA fusion image encryption algorithm based on chaotic system was proposed. Firstly, the image was scrambled by Baker transform to obtain the DNA sequence. Then, Logistic map was used to generate chaotic sequence. Finally, the DNA sequence was encrypted. The method has good sensitivity to initial values and strong ability of anti-statistical and anti-differential attacks. The simulation results show that the algorithm is not only simple, but also has good encryption effect and high security.