Research On Energy-based Routing Protocol Of Underwater Acoustic Sensor Network

Underwater wireless sensor networks have been widely used in many fields,such as conventional marine monitoring and disaster warning.However,the underwater environment is complex and changeable,and battery replacement and charging are difficult.Therefore,network lifetime and energy consumption are the two main factors that need to be considered in the design of underwater acoustic wireless sensor networks.In order to ensure the balance of energy consumption of underwater wireless sensor networks and effectively extend the lifetime of underwater wireless sensor networks,this paper proposes two clustering routing strategies.Hierarchical adaptive energy-saving cluster routing(HAECR)algorithm and IM-kmeans cluster routing strategy based on mobile nodes.The HAECR algorithm is a distributed free competition algorithm.It first divides the hierarchical area according to the depth of the nodes in the underwater acoustic sensor network.Then,nodes compete freely according to their attributes and remaining energy to form clusters of different sizes.Finally,the transmission path between clusters is determined according to comprehensive factors such as link quality,and the best route is planned.Carry out simulation experiments in the three-dimensional monitoring range.Experimental results prove that the HAECR cluster strategy is superior to LEACH and UCUBB in terms of balancing and reducing energy consumption,extending network life and increasing the number of data transmissions.The routing strategy based on IM-kmeans clustering of mobile nodes defines the optimal number of cluster heads and initializes the cluster center from the perspective of network coverage.The optimal clustering is calculated iteratively through the improved k-means algorithm.When selecting the cluster head,the energy of the node,the movement of the node and the distance from the cluster center are considered comprehensively.After clustering,the inter-cluster transmission path is selected probabilistically by the fitness function,and is transmitted to the sink node through multi-hop.This paper proves through simulation that the IM-kmeans algorithm can effectively optimize the cluster structure,balance the network energy consumption,increase the arrival of data packets and extend the life of the network.