Research On Node Location And Optimization Algorithm Of 3D Underwater Wireless Sensor Networks

With the increasing attention to the exploitation and utilization of marine resources,the underwater wireless sensor networks(UWSNs)have been paid more and more attention by scholars.The research of sensor node localization is one of the fundamental topics and research hotspots for the application of UWSNs in various fields.However,under the influence of complex marine environment,there are still many formidable obstacles to overcome,including localization accuracy,localization rate,and other issues.Therefore,underwater node localization algorithm is of significant research value.Based on these factors,this paper carries out research on underwater node localization algorithm,and proposes a node location and optimization algorithm for 3D underwater wireless sensor networks.The main work is as follows:(1)An algorithm based on different localization strategies is proposed to improve the problem of low localization rate effectively.Firstly,it adopts the regular tetrahedron network topology and the collinear judgment mechanism.In view of the number of anchor nodes around the unknown node,this algorithm designs four different localization strategies.Besides,a simple and applicable triangular cosine distance calculation method is proposed to calculate the distance between the unknown node and the optimal non-neighbor anchor node,and a dynamic position-assisted localization method is proposed.The simulation results show that the algorithm can take into account the localization accuracy and complexity of the algorithm to a certain extent,and at the same time greatly improve the node localization rate.(2)A high precision node location algorithm based on Chicken Swarm Optimization is proposed to improve the problem of high node location error effectively.The algorithm optimizes the localization algorithm from two aspects: Firstly,for the bending and stratification phenomenon of underwater sound propagation,a reasonable thinning is carried out for equal interval stratification,an adaptive stratified sound tracking algorithm based on gradient difference is proposed,and the projection distance between the anchor node and the unknown node is calculated according to this algorithm;Secondly,after fully analyzing the principle of the standard Chicken Swarm Optimization,a chaotic mapping is used for its population initialization stage to make the population distribution more uniform,and learning factors and inertia weights are introduced to improve the flock position update method.Simulation experiments show that the algorithm reduces the node localization error,and has corresponding superiority in terms of algorithm convergence and population convergence effect.The node localization algorithm with high localization rate based on different localization strategies and the high-precision node localization algorithm based on Chicken Swarm Optimization improve the node localization performance from the node localization rate,node localization accuracy and other aspects,but also promote the improvement of UWSNs monitoring performance.