Research On Age Of Information In Energy Harvesting Multi-hop Network

In recent years,with the rapid development of wireless network and the rapid increase of energy consumption on network the research about introducing renewable energy into wireless communication network has attracted more and more attention.Due to the instability of renewable energy power supply,the research on energy consumption in wireless communication network is facing great challenges.At the same time,People have high requirements for the immediacy of messages,and the age of information(AoI)is born to describe the freshness of the information received by the destination node.This paper focuses on the AoI problem in energy collection multi-hop networks.Firstly,a briefly introduced is presented to the concept and characteristics of energy collection network,related technology of AoI and the convex optimization theory,random hybrid system theory used in this paper.Secondly,to solve AoI minimization problem in multi-hop networks,an optimal transmission strategy is proposed,then show that the two-hop problem is solved by treating the source and relay nodes as one combined node,and using single-hop result as a costructing block.Convex optimization is used to model an AoI minimization optimization problem with constrained,and the optimal value is solved by AoI minimization algorithm,which reduces the algorithm's operation quantity.The feasibility of the strategy is proved by simulation.Finally,we investigate the average AoI for queues of multi-hop network.The stochastic hybrid system is used to derive the AoI for queues,and a transmission scheme for minimizing the AoI is proposed.The relationship between the number of nodes,the arrival rate and the AoI is analyzed.The simulation results show that the average AoI is independent of the sequence of nodes,and the acquisition rate and service rate kept at the minimum value of AoI are optimal.