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Research On Resource Allocation Strategy Of Wireless Sensor Networks Based On Energy Transfer

Posted on:2020-07-15Degree:MasterType:Thesis
Country:ChinaCandidate:T LiFull Text:PDF
GTID:2428330575485690Subject:Information and Communication Engineering
Abstract/Summary:PDF Full Text Request
With the increasing demands for wireless communication,the wireless communication has developed rapidly in recent years,which has become one of the most important hot research points in the field of communication.Compared with wired communication,wireless communication can adapt to some demanding or special application environments.For example,the wireless sensor nodes are used in the high-speed rail detection environment,where wireless sensor nodes are usually powered by batteries and cannot be replaced frequently.Therefore,it's an extremely important research direction that how to find new wireless resource allocation technology and how to effectively coordinate between nodes to optimize the entire network resources.Focusing on the above problems,this paper applies wireless energy transfer technology to wireless sensor networks,which can provide a fixed energy source for wireless sensor nodes.In different transmission modes,the different transmission schemes are proposed to improve the throughput or power efficiency of the entire network to some extent,which prolongs the network lifetime.The main work and contributions are as follows:(1)In the direct transmission mode,a wireless sensor network throughput maximization scheme based on energy transmission is proposed.The scheme uses convex optimization theory to jointly optimize transmission time and information transmission power.Firstly,the wireless energy transfer model is built by combining the battery energy storage function,and then the throughput function of transmission time and information transmission power is derived according to the relevant constraints.The objective function that satisfies the convex distribution is obtained by correlation transformation.Finally,the Lagrange multiplier method is used to obtain the best transmission time and information transmission power which meet the requirements.The scheme is more suitable for the real scenarios because it considers the minimum signal-to-noise ratio of the channel when the node transmits information and the battery storage function of the sensor nodes.The theoretical analysis and simulation results show that the scheme is superior to the scheme which only considers the optimized transmission time in maximizing the network throughput when the basic transmission conditions are satisfied,and the throughput of the wireless sensor network is correspondingly improved.(2)In the transmission mode of introducing relay,the two-way transmission relay system of SWPIT is studied.Combined with digital network coding technology,a two-way relay carrying communication system(PSINCR)based on improved NC cooperation mode is proposed.The proposed scheme with the traditional DF relay forwarding mode(PSR)and the traditional NC bidirectional transmission mode(PSNCR)are optimized by taking into the genetic algorithm.The analysis shows that the proposed scheme has better power efficiency than the other two schemes when the base station transfers less energy,and the network throughput is larger than the other two schemes.
Keywords/Search Tags:Convex Optimization, Genetic Algorithm, Throughput, Energy Efficiency, Energy Transfer
PDF Full Text Request
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