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Key Technologies Of Underwater Acoustic Sensor Network Based On Energy Acquisition Technology

Posted on:2018-11-26Degree:MasterType:Thesis
Country:ChinaCandidate:H H CaoFull Text:PDF
GTID:2348330542451934Subject:Electronic and communication engineering
Abstract/Summary:PDF Full Text Request
Underwater acoustic communication is the main method to realize wireless transmission for underwater environment.In underwater acoustic sensor networks,energy harvesting is a key problem which is the biggest challenge in system design.In the paper,an underwater acoustic communication system based on energy harvesting is proposed.Wireless charging technology is used during the communication process.In addition,in order to mitigate or eliminate the multipath fading in the underwater acoustic communication,relay cooperative communication is proposed.In this paper,time-slot resource and power resource allocation of underwater acoustic sensor network are studied.Maximize system capacity and energy efficiency.The main contents and contributions of this paper can be described as follows.First of all,the paper analyses the characteristics of underwater acoustic channel and the underwater acoustic channel model in detail,together with the effects of sound velocity,propagation loss,noise,multipath propagation and doppler shift on underwater acoustic communication.In addition,this paper also introduces the classical diversity and combining technology.It is proved that MRC is the best method in the merging technology through the matlab simulation.Moreover,we also introduce different kinds of cooperative communication models,including amplify and forward(AF),decode and forward(DF)and coded cooperation(CC).Secondly,the paper studies the acoustic relay cooperation model based on the wireless charging technology.The time-slot resource allocation scheme can be deduced based on the maximization of reachable ergodicity total capacity using amplify and forward method.The paper simulates the performance of the reachable ergodicity total capacity with the effect of path attenuation coefficient,communication distance and transmit power.The simulation results show that the scheme proposed in this paper significantly improve the system total capacity compared to other resource allocation scheme.Third,we propose a joint allocation strategy of time-slot resource allocation and power resource allocation using decode and forward based on the maximum capacity criterion in the paper.In addition,we take the green communication into consideration and assume that the channel state information(CSI)of transmitter is completely available.Also assume that the power consumption of the system is mainly composed of circuit power consumption and transmitter's power consumption.In that case,the paper works out the resource co-allocation strategy of transmitter's power and time-slot.The corresponding simulations show the rationality of the proposed algorithm under the circumstance of in the single user and multi users.The simulation results indicate that the proposed algorithm can effectively improve the energy efficiency of the system under the premise of the fast approximation speed.Finally,the paper studies the multi-antenna acoustic relay system and proposes a resource allocation scheme based on MRC technology which use multiple antennas at the relay.Also we use MRC technology to realize the receiving and forwarding of information.At the same time,according to the previous research,different values for each communication time-slot is considered and we come up with time-slot allocation based on maximum total capacity criterion and the joint allocation of time-slot resources and power resources based on maximum energy efficiency.We verified the optimality and astringency of the proposed scheme and get the effect on the capacity by changing the number of antennas and the number of users through the matlab simulation as well as the validity of communication in the underwater acoustic sensor network.
Keywords/Search Tags:Underwater Acoustic Communication, Wireless Charging, Cooperative Communication, Resource Allocation
PDF Full Text Request
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