Research On Low Delay Optimization Algorithm For Oil And Gas Pipelines Based On Cognitive Radio

With the development of industrial modernization,the national demand for oil and gas is also increasing.Oil and gas pipeline transportation is one of the main transportation modes of oil and natural gas,and its safety is very important.As the important point to ensure the safety of oil and gas pipelines,the Internet of Things has been widely studied by domestic and foreign researchers.As a potential solution to the shortage of wireless spectrum resources,Cognitive Radio technology can effectively improve the wireless spectrum utilization and the communication performance of the Internet of Things.Our paper is based on the outstanding young and middle-aged scientific research and innovation team project of Northeast Petroleum University and the national fund project to optimize the Cognitive Radio performance and the time delay and energy efficiency of the Internet of Things for oil and gas pipelines.The main contents and innovations of this paper are as follows:(1)Aiming at the serious problem of Inter-Carrier Interference(ICI)in Spectrum Pool systems,this paper proposes a taboo search based Cognitive Radio performance optimization algorithm.Traditional Spectrum Pool system based on Orthogonal Frequency Division Multiplexing(OFDM)uses Inverse Fast Fourier Transform/Fast Fourier Transform(IFFT/FFT)operation to modulate and demodulate the user's signal.However,the use of Wavelet Packet Modulation(WPM)technology does not require cyclic prefix and pilot,it can effectively improve the bandwidth utilization and reduce the sidelobe effect.Therefore,this paper proposes a taboo search algorithm based on WPM technology.The algorithm uses taboo search to obtain the optimal wavelet filter which produces the minimum ICI.Simulation results show that the optimal wavelet packet can reduce the ICI energy and improve the Bit Error Rate(BER)performance of the system.Moreover,the algorithm does not consume the cognitive user's bandwidth,nor does it sacrifice the data transmission rate of the cognitive user.(2)Aiming at the energy limitation and end-to-end delay of the Internet of Things in oil and gas pipelines,this paper proposes a routing algorithm with low delay.The residual energy and the distance from node to sink are used as the standard to select the candidate forwarding nodes in the opportunistic routing algorithm.The new algorithm can balance the energy,prolong the network lifetime,and reduce the end-to-end delay by reducing the number of hops.The simulation results show that the algorithm can effectively balance the network lifetime and network delay,improve the network performance,and reduce the response time of the Internet of Things in oil and gas pipelines.(3)In order to solve the extra energy burden and delay caused by the introduction of Cognitive Radio technology into the Internet of Things,a low delay routing algorithm based on energy acquisition is proposed in this paper.Energy harvesting technology is introduced to prolong the service life of the network.Moreover,we redesign the data transmission backoff strategy,which can reduce the network delay and the extra energy consumption.Simulation results show that the algorithm can more effectively balance the network lifetime and network delay compared with other algorithms based on energy harvesting technology,and can improve the network performance.