Research On Node Location Algorithm Based On Multi-source Ocean Internet Of Things

The ocean is closely related to human life.With the continuous reduction of terrestrial resources,the development of marine resources has become a research hotspot and accelerated the development of the marine Internet of Things.Among them,node location is a key technology,because only the location of the nodes is known in the ocean Internet of Things,the information collected by these nodes makes sense.However,the unique underwater environment determines that the land-based IoT positioning algorithm cannot be directly applied to the marine Internet of Things.Therefore,the research on the marine Internet of Things positioning algorithm is of great significance and urgent.At present,most of the underwater positioning algorithms do not consider the characteristics of the multi-source of the Internet of Things and the mobility of the nodes to be located.In a complex marine environment,due to the diversity of nodes,it is impossible to deploy accurately,and it is moved all the time by the tides of ocean currents.In addition,underwater acoustic communication is a highly time-varying system that is much more complex than the air channel in the air.This increases the difficulty and error of multi-source marine IoT node location,and limits the development of marine IoT positioning technology.This paper proposes a Mobility-constrained Beacon based Localization Algorithm(MCB),an Energy-aware Localization Algorithm(ELA),and a limited floating underwater.Restricted Floating Localization(RFL).The MCB includes a Mobility-constrained Beacon based Localization Algorithm in 2D(MCB-2D)and a Mobility-constrained Beacon based Localization Algorithm in 3D(MCB-3D).The MCB-2D and MCB-3D algorithms do not need to know the exact location of the beacon nodeand only need to know the location of the anchor and the moving range of the beacon node to locate the unknown node by using the geometric relationship between the nodes,thus solving the beacon node The effect of ocean currents is a problem in which movement cannot beaccurately located.The ELA algorithm uses the ship with accurate position information as a beacon to solve the problem of beacon deployment.and according to the relationship between energy propagation attenuation and node distance,the movement law of underwater nodes is introduced into the calculation to solve the signal transmission between nodes.The problem of accuracy caused by instability.The RFL algorithm uses the ship as a beacon node for auxiliary positioning,which reduces resource consumption and reduces costs.The above algorithms are based on the characteristics of multi-source marine Internet of Things,applying the diversity of beacon nodes to the positioning algorithm,solving the problem that the nodes in the ocean Internet of Things cannot be accurately deployed and moved,and simplifying the calculation process and improving.The feasibility of the algorithm.We simulated the above algorithm with MATLAB software,and the simulation results proved that the three positioning algorithms proposed in this paper greatly improve the accuracy of node positioning,reduce the error rate of network positioning,and have a good practicality in the marine Internet of Things.