Improved ant colony algorithm for ultraviolet communication network
Due to the strong time-varying nature of the ultraviolet communication network channel,corresponding adaptive rout-ing is needed to solve the problems of high network transmission delay and uneven energy consumption of nodes during the net-working process.Based on ant colony optimization(ACO)algorithm,an improved ACO algorithm for ultraviolet communication networks is proposed.The algorithm introduces the network node energy into the state transition probability formula of ACO al-gorithm,and analyzes the delay performance of the algorithm under different transmitting angles,transmitting power and data transmission rates by Matlab simulation software.The simulation results show that compared with the ACO algorithm,when the transmit-receive elevation is 50°,the delay of the proposed algorithm is reduced by 1 s,the convergence speed is increased by 28%,the average residual energy of the convergence path is also significantly increased,and the life cycle of the network is effec-tively extended.
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