Research On The Key Technology Of Marine Network For Ocean Monitoring And User Service

With the continuous development of marine resource and human activity on the sea,we study some key technology of the marine integrated communication network which combining underwater wireless sensor networks(UWSN)and Wireless Mesh Networks(WMN)on the surface of ocean.With the integrated network,UWSN can first collect then transmit data in an energy efficient and environmentally friendly way.With the collected data,the smart gateway will pass the data to the WMN for further transmission by an intelligent strategy for data uploading decision.Finally,we study the optimal bandwidth allocation scheme in the WMN to guarantee the quality of service of users.The specific content and innovation of the thesis includes:(1)UWSN suffers narrow bandwidth,high energy consumption,interference with other existing acoustic systems and so on.To improve the utilization of spectrum resource,a media access control(MAC)scheme based on the characteristics of acoustic signal for UWSN is proposed.To solve the optimization problem with maximize the network throughput,we adopt a game theory based utility function.With the output of the power control algorithm,the network allows for as many simultaneously transmission as possible.Furthermore,in order to avoid interference with other existing acoustic systems,by introducing a novel localization scheme,the proposed MAC scheme can further share the spectrum and spatial resource with other systems.(2)As for ocean WMN,the Quality of Experience(QoE)research faces great challenges including strong subjectivity and bandwidth fluctuation in many existing resource optimization models.To avoid the oscillation result from the bandwidth fluctuation then improve the user's experience,we propose a QoE based VoIP bandwidth allocation scheme named QBAV.The QoE is used as a constraint condition to feedback control the bandwidth requirement of the data flow by introducing the Proportional Integrative Derivative(PID)theory,furthermore,a resource optimization model which is contrained by both resource and QoE is established.Finally,the solution of the optimization problem is a tradeoff between the utilization of bandwidth and QoE of users.In order to provide the service of data transmission among users,a multicast bandwidth allocation scheme is also proposed in the thesis.(3)According to the heterogeneous characteristics of network,a design scheme of smart gateway is proposed,which is connected with the UWSN and the WMN.As for the collected data from UWSN,we propose a decision of uploading data strategy based the characteristics of high similarity of collected data and the energy consumption characteristics of high similarity data's compression.The proposed decision strategy optimizes the energy consumption at the gateway.Specifically,through the analysis of the data similarity and upload energy consumption,the decision strategy provides energy efficient data upload strategy for underwater nodes,which will reduce energy consumption in different network's setting.