Energy Efficiency Optimization Study Of Static And Dynamic Internet Of Things Networks

The high-speed development of 5G technology will lead to a significant increase in the number of connected devices,which can realize a new era of Internet of Everything.However,the existing spectrum resources are not enough to support such a large demand of traffic,and will lead to energy consumption and rapid emission of greenhouse gases.How to effectively use spectrum resources and improve system energy efficiency are the main research issues in the development of Internet of Things.In recent years,the research on energy efficiency in Internet of Things mainly focuses on static Internet of Things applications,but only limited to static Internet of Things applications,which has great limitations in the future development of Internet of Things.V2 X is a good example of dynamic Internet of Things,so this paper develops static research into dynamic V2 X research to solve the above problems.Aiming at the static network,this paper studies the energy efficiency optimization problem of cognitive Internet of Things network based on energy harvesting,and finds that there will be a "doubly-near-far" problem in wireless Internet of Things network.This paper considers that energy harvesting and information receiving stations should be managed separately in cognitive Internet of Things network,and proposes a new heterogeneous cognitive Internet of Things network model based on energy harvesting,which can effectively solve this problem.The mathematical expression is optimized for this network,and through the joint optimization method of channel allocation,power control and time allocation,The results show that the scheme can significantly improve the energy efficiency of system users.For dynamic V2 X network,to meet the requirements of safe communication between vehicles and everything,it needs sufficient spectrum resources and real-time performance,and the uneven distribution of cellular traffic between adjacent base stations leads to further waste of spectrum resources.Load balancing is one of the effective ways to improve spectrum utilization.However,the existing load balancing schemes only focus on static conditions and lack of joint scheduling schemes,which are not enough to support the dynamic V2 X communication framework.In order to solve this problem,a new communication method is proposed in this paper,which considers the energy efficiency optimization mechanism of cross-cell joint load balancing of mobile vehicles D2D-V2 V under incomplete CSI,and uses the joint load balancing scheme of D2D-V2 V communication and user association in the overlapping areas of cells to make full use of the spectrum resources of nearby idle base stations.According to the mathematical expression of network optimization,a new method of joint power control and resource allocation mode selection is proposed.Two main resource allocation modes are considered for V2 X communication: scheduled resource allocation(centralized system)and autonomous resource selection mode(distributed system).In particular,different allocation algorithms are adopted for different coverage areas to solve the problem of uneven load and maximize the energy efficiency of the whole system.Simulation results show that the strategy can keep low delay and effectively improve the system energy efficiency of vehicle users.