Research On Energy Consumption And Delay Sensitive Resource Scheduling Strategies In The Internet Of Things

With the rapid development of Internet of Things technology in recent years,the use of Internet of Things in various production environments is also increasing.The data transmission in the Internet of Things mainly relies on various wireless communication protocols.At present,the wireless communication protocol mainly uses the IEEE802.15.4standard,which relies on the advantages of short distance,low power consumption and low speed and is widely used in various fields,including intelligent medical,intelligent agriculture,intelligent home and other environments.However,in the actual production environment,due to the design of IEEE802.15.4,most sensor nodes can only be set up and communication in a single channel,resulting in large data transmission delay and high power consumption in the large-scale Internet of Things environment,so it is necessary to study the corresponding strategies to solve the relevant problems.This thesis mainly focuses on the problems of difficulty in accessing the channel of IEEE802.15.4 in the competitive period,unfair access in the short term and different transmission requirements of different types of nodes in the non-competitive period.The CSMA/CA algorithm in standard protocols and time slot allocation strategy are combined to improve the channel access probability of nodes and meet the different transmission requirements of different nodes on the premise that the data transmission of the whole network is not affected,so as to reduce the transmission delay and power consumption of the whole network.The main research work of this thesis is as follows:(1)In view of the unfair access of nodes to the channel in the superframe competition period,the CSMA/CA algorithm in the standard is improved to reduce the CCA detection times of nodes in the regression period,and make the regression period of nodes change dynamically,so as to improve the channel access probability of nodes.The improved algorithm is modeled by Markov chain,and the performance of the improved strategy is analyzed successively.(2)In view of the problem that nodes have different transmission demands in the superframe non-competitive period,in the working environment,different transmission priorities are arranged according to the transmission performance of nodes,and the coordinator is made to sort the nodes in the network through the priority selection algorithm,so that the nodes with high transmission requirements can obtain the guaranteed time slot preferentially for data transmission.On the premise of not affecting the transmission function of nodes in the entire network,the transmission delay of all types of nodes is minimized to improve the overall performance of the network.(3)Network simulation is carried out for the proposed improved strategy,and comparison and analysis are carried out with other related improved strategies to analyze the transmission performance and feasibility of the proposed strategy from the aspects of transmission delay,network throughput,energy consumption and transmission success rate respectively.