Research On Node Mobility Model And Deployment Algorithm Of Underwater Wireless Optical Communication Network

Underwater Wireless Optical Communication(UWOC)has received wide attention in high-bandwidth underwater applications due to its advantages of high transmission rate,low transmission delay and good reliability.Yet,the node movement caused by the current and the alignment communication requirements of optical communication have brought great challenges to the deployment and coverage of UWOC networks.Thus,this thesis considers the influence of the current and conducts related research on the deployment and coverage of UWOC networks.This thesis focuses on three issues related to UWOC.In order to avoid large-scale drift of sensor nodes,node mobility model is firstly established with the consideration of the case where the node is constrained by an anchored cable.The hydrodynamic method is used to analyze node mobility in constant and non-constant currents,and the effect of cable bending on the node position is considered.Secondly,based on the node mobility model,the effect of the flow and related system parameters on the received light intensity was studied by Monte Carlo simulation.The simulation results show that although the current has a serious impact on optical communication,the influence can be reduced by selecting appropriate communication direction system parameters such as light source divergence,anchoring depth,etc.,according to the flow conditions.Finally,for the deployment of underwater three-dimensional wireless optical communication networks,considering the mobility of nodes,the connectivity of UWOC networks is analyzed.Further,a deployment scheme based on virtual force and artificial immune algorithm is proposed.The analysis results show that the deployment strategy can ensure the connectivity of UWOC networks and make coverage reach 90% or more.The mobile model for underwater anchored sensor nodes and the deployment coverage scheme for UWOC networks proposed in the research work of this thesis provide feasible ideas and methods for the deployment and application of UWOC networks.