Research On Energy-saving Data Transmission Technology In Underwater Wireless Sensor Networks

Underwater Wireless Sensor Networks(UWSN)are composed of sink nodes and underwater wireless sensor nodes(UWSNN),and helps for human beings to obtain underwater world information and explore underwater resources.However,the underwater environment is more complex than the terrestrial environment,which leads to the more important energy consumption problem in UWSN.In recent years,scholars’ research on UWSN is focused on reducing the energy consumption of Underwater Wireless Sensor Network Node(UWSNN),but there are few studies on the route hole after the end of data transmission,which will lead to the early death of UWSN.In addition,there are few considerations about the transmission energy consumption of sink nodes on the surface of water,which leads to data transmission interruption or packet loss.In order to solve the above problems,this thesis studies the energy-saving data transmission technology of UWSN underwater environment and surface environment respectively.The main research content and innovation include the following two aspects:(1)The load balancing method based on energy grading and depth adjustment technology: This study aims to address the energy-saving data transmission technology for UWSN underwater environments.Existing UWSN energy-saving routing algorithms consider mostly the energy consumption during UWSN operation and rarely consider the problem of forming a hole in the route after UWSN operation.Therefore,this study uses depth adjustment technology after the UWSN operation ends to reduce the formation of route holes.Specifically,the study is divided into three stages: Load balancing stage,Energy grading stage,Depth adjustment stage.Experimental simulation results show that this method can effectively reduce overall UWSN energy consumption and improve its network connectivity.(2)Unmanned Aerial Vehicle-Assisted Data Transmission Method for Converged Nodes: This study aims to address the energy-efficient data transmission technology for UWSN water surface environments.This not only effectively solves the energy consumption problem caused by long-distance data transmission for converged nodes but also can flexibly adjust UAV deployment according to the distribution of converged nodes to improve data transmission stability.This study takes the overall energy consumption of the UAV system as the optimization goal and proposes a genetic algorithm with constrained density clustering(IGA-CDBSCAN)to solve the UAV deployment strategy(position and quantity of UAVs).The study uses a constrained density clustering algorithm(CDBSCAN)to initialize the population of genetic algorithm(GA),and improves the population encoding mechanism,cross and mutation strategies,and selection strategies in the genetic algorithm step to achieve faster convergence and lower system energy consumption.Experimental simulation results show that the proposed method can effectively reduce system energy consumption and achieve better convergence results.