Efficient Node Deployment In Underwater Sensor Network

Underwater wireless sensor networks have broad application prospects in water environment information collection,seabed resource detection,marine military monitoring,and underwater disaster warning.Node deployment in the underwater sensor network not only directly affects the quality of network monitoring,but also relates to various algorithms and protocol designs that follow the network.However,due to the particularity of the underwater environment,the cost of deploying nodes is high.Therefore,the method used to effectively reduce the deployment cost of nodes under the premise of meeting the application environment coverage requirements is a key issue to be studied.This paper first studies the deployment of underwater sensor network nodes based on existing deployment algorithms,coverage indicators,perception models,and communication methods.Aiming at the hierarchical coverage problem of nodes in water environment,this paper proposes a depth adjustment deployment algorithm combined with Voronoi diagram.This method first calculates the depth at which each underwater sensor node should sink under the condition of full coverage,and then determines whether the node is redundant through the 2-Voronoi graph lemma,adjusts the depth according to the sinking distance of the redundant node,and finally realizes a Hierarchical3 D node deployment targets.The simulation results show that the proposed algorithm can make the network obtain better coverage and connectivity,and extend the network lifetime.Secondly,this paper proposes a profile-based barrier deployment scheme to detect targets in dynamic waters due to the disadvantage of the high cost of the traditional cube-filled full-coverage node deployment solution.This scheme deduced the minimum number of sensor nodes when the full coverage of the barrier was reached,and then adjusted the position of the nodes in the vertical direction to build a section barrier.We use simulation experiments to estimate the coverage and energy consumption during node movement and estimate the coverage by meshing.Experimental results show that the method has good coverage performance,and it can reduce and balance the energy consumption during anchor node deployment to extend network uptime.