| In recent years,with the development of wireless networking technology,underwater wireless sensor networks(UWSNs)based on underwater acoustic communication have also become a research hotspot.UWSNs are a multi-hop data transmission network composed of a large number of underwater sensor nodes with acoustic communication and data processing capabilities.However,the underwater is complicated,and the underwater acoustic channel has the characteristics of high latency,narrow available bandwidth,multipath interference,and interference noise,which greatly affects the network performance of UWSNs.For the problems of poor transmission reliability and high latency of underwater acoustic channels,this thesis takes the routing layer of UWSNs as the research object,aiming to improve the traditional opportunistic routing protocol.Firstly,opportunistic routing protocols are analyzed from four aspects: topology structure,construction of next forwarded candidate node set,coordinated transmission mechanism and measurement strategy.At the end of this part,some common problems in underwater data transmission are analyzed.Secondly,A Link Quality Estimator based Opportunistic Routing protocal(LQEOR)is proposed.In LQEOR,a combination of software and hardware metrics is selected to construct a link quality estimator based on fuzzy calculation rules for each hop.The link quality value is used as the selection rule for candidate nodes,and the packet response is adopted to coordinate transmission between candidate nodes.On the Aqua-Sim,AODV,Ex OR and LQEOR are compared.The results show that LQEOR has a higher reliable delivery rate,but higher latency in dense networks.Finally,combined with the ant colony algorithm for route discovery,selecting cooperative nodes to provide cooperative transmission between single hops with poor link quality,Link Quality estimator based Cooperative Opportunistic Routing protocol(LQCOR)is proposed.It can be seen from the simulation results that the LQCOR can balance reliable delivery rate and latency.,and solve the problems of load imbalance,detours and holes,so that Intensive network performance is improved. |