Research On Underwater Acoustic Sensor Networks

Wireless sensor networks(WSN) as a brand-new network technology in monitoring and controlling integrates multifold functions including data collection, aggregation and transmission application, and it is an intelligent network application system. WSN has some obvious excellences such as adaptive self-organization, mini-size, low power consumption, working order under adverse condition and so on, and it has expansive application foreground in civil domain and national defense. The underwater acoustic sensor networks is an application of WSN, it flings down a challenges to the key technologies of WSN, because the underwater acoustic environment has its own characteristics.One fundamental issue in WSN is the nodes deployment, which affects the performance and lifetime of the networks. Theoretical study and simulation are made on the characteristics of connectivity and coverage of deployment randomly in this paper. The connective characteristic in the static environment is discussed, the relationship of radio range, node number, monitoring area and connectivity probability is given by computer simulation, the empirical formulae are given by linear regression analysis according to many computing results. Based on these, the network connectivity issue of underwater acoustic environment is discussed, and the simulation is made on variety in network on the condition of node moving randomly, commonly orderliness is given. The coverage issue is also studied in this paper. Summarization and simulation is made on the relation of node number, monitoring area, sensor range and coverage probability, the empirical formula is summed up. The study on connectivity and coverage is taken as the theory foundation for concluding a node deployment scheme of underwater acoustic sensor networks.The thesis generalizes a self-localization algorithm adapting to underwater acoustic environment from simulation on localization error and power consumption of existing localization algorithms, and proposes a low power consumption localization scheme, which adapts to underwater acoustic condition. The scheme integrates the information of topology and localization, reduces the amount of communication and power consumption of localization, satisfies the needs of constantly localizing and topology discovering again due to the changing of nodes' position in underwater acoustic environment, and is proved the validity and theoretical feasibility by simulation.The dissertation in the last studies on the principle and process of dynamic voltage scaling, especially on four kinds of forecast algorithm, summarizes characteristics and capability of every algorithm by simulation.