| Underwater acoustic sensor network can effectively acquire ocean information by deploying the surface gateway node and the underwater sensor node to form a three-dimensional wireless sensor network.Underwater acoustic sensor network has a very important research value in disaster warning,environmental protection,intrusion detection and other civil and military fields.Network topology is one of the key problems in wireless network design.Good wireless network topology can improve the efficiency of MAC protocol and routing protocol,while able to provide basic technical support of the target location,time synchronization and data fusion.Therefore,it is of great significance to study the topology control and optimization of wireless networks for underwater acoustic sensor networks.In this paper,the submarine sensor nodes clustering network optimization and multi-surface gateway deployment optimization problem are studied in the underwater acoustic sensor network.The main contents are as follows:1.A new global optimal clustering algorithm is proposed.According to the number of nodes that have been elected in the cluster,the probability of node selection is dynamically adjusted to make the initialization code reasonable and fair.A good random cross section is captured by circular search of the particle coding region,which ensures that the crossed particles contain a certain number of historical optimal cluster head information.Through the node coding bit mutation to improve the exploration of the algorithm,and to ensure the existence of solution space.The proposed algorithm can better balance the cluster head load,and reduce the energy consumption of the network effectively and prolong the lifetime of the network.2.An optimization algorithm for multi-surface gateway dynamic deployment based on improved cuckoo optimization algorithm is designed.The fair and efficient optimization of the surface gateway layout is realized.The proposed multi-surface gateway deployment optimization algorithm can effectively improve network capacity,reduce network latency and save the energy of underwater sensor nodes.At the same time,the influence of the number of different water gateway nodes,the length of different data frames and the different signal transmission rates on the energy consumption and network delay of the underwater sensor nodes are studied.It provides scientific decision support for the overall optimization and system design of the underwater sensor network. |
