Mobile Data Acquistion And Transfer Under The Framework Of Underwater Sensor Network

With growing interests in marine science and business, the advancement of point to point underwater acoustic communication technology, and the further development of autonomous underwater vehicles, underwater acoustic network has become one of the most important hot-spots in the marine research community. Using underwater sensor network (USN) can help obtain the information about the change of the marine environment more effectively and quickly, which is of great significance to marine resource exploration and scientific research.Under the framework of USN, environmental data collection and transpotation using a mobile node, specifically an autonomous underwater vehicle (AUV), are studied in this thesis. Based on the physical characteristics of the underwater acoustic channel and signal propagation characteristics in the water, the energy consumption model of underwater sensor network is estabilished, and then an energy efficient location-aware routing scheme is designed. The routing method adopts dead reckoning and a trilateration positioning approach to acquire the location information of the nodes according to the type of the nodes in USN. Paper also analyzes the factors that affect the positioning accuracy, and anchors that participate in the localization are selected under more strict conditions in localization of the fixed node so as to inprove the accuracy of the localization. Based on the energy efficient routing method, routing scheme in this paper aims at solving the problem of the long worktime of USN, and utilizes the optimal transmission distance related to the energy.Furthermore the new routing scheme also considers the residual energy of the nodes, resulting in a more reasonable routing forwarding rule. The simulation result shows that compared with the energy efficient routing, the scheme can prolong the network life cycle.The thesis also presents design of a set of data collection and transmission system for AUV installation. The system adopts a parallel processing structure that improves the processing efficiency. Reliability design is also implemented during the design. The system is able to upload the real-time data through the underwater sensor network so as to realize the environment monitoring. The performanceof the system has been fully tested in the Qiandao lake experiment on networking technology.