Proposed a mobility prediction in underwater sensor networks is based on extensible positioning method (SLMP).In SLMP

positioning uses hierarchical implementation

the localization process is divided into two parts:anchor node localization and ordinary node localization.In the process of locating

each node is to predict its future mobility model

location information is based on its past known

the predicted flow patterns can be estimated based on its future position.Anchor nodes with known locations of the network will control the positioning process

in order to balance trade-offs between accuracy

coverage

and the communication cost.We conduct extensive simulation;results show that

SLMP can greatly reduce the communication cost while maintaining positioning

positioning relatively high coverage rate and positioning accuracy.