Research On Underwater Node Deployment And Network Routing Technologies For Data Collection

Underwater Acoustic Sensor Networks,as a new way to explore and exploit oceans,has broad application prospects in many fields such as ocean monitoring and coastal prevention,has attracted more and more attention from all countries.As an important tool for marine monitoring,the core of the underwater acoustic sensor networks is to be able to effectively collect marine environmental information.Therefore,this thesis studies node deployment and routing during data collection.Aiming at the existing node deployment optimization methods,the joint optimization of network coverage and connectivity is not well realized,in turn,data cannot be collected and transmitted efficiently.A deployment optimization algorithm based on depth adjustable node(DODA)is proposed.The nodes in the method form the topology with the sink node as the root node through depth adjustment to achieve full connectivity of the network.On the basis of network connectivity,node deployment is optimized by finding the optimal location of node.Furthermore,in order to optimize the node forwarding path during data transmission,an evidence theory based opportunistic routing protocol(EBOR)is proposed.In this protocol,the source node considers the remaining energy of the neighbor node and the delivery rate of the packet as the basis for determining the best next hop.The priority of the forwarding node is calculated based on the evidence theory,and the number of neighbor nodes participating in the forwarding is optimized to reduce energy consumption.Simulation results show that DODA ensures connectivity between nodes,improves the effective coverage of the network,and collects marine environment information more comprehensively.The connectivity between nodes is higher,and it can adapt to the dynamic marine environment.Compared with other routing protocols,EBOR effectively improves the packet delivery rate and ensures the reliability of data forwarding.The energy used to forward the same data packet is less,and the energy is more efficient.The energy consumption between nodes is more balanced to avoid the early death of nodes.