Research On Routing And Scheduling Algorithm Of Communication Network In Intelligent Distribution Network

With the progress of information technology and sensor technology,the advantages of building smart grid with these advanced technologies are becoming increasingly prominent,such as improving the power supply quality,operation safety and improving the utilization rate of energy.As the key component of connecting power generation and power consumption,distribution network has a very important role in ensuring the quality of power supply with the increasing scale of distribution network in China.Wireless sensor network(WSN)is widely used in intelligent distribution network because of its fast network ability and self-organization recovery capability,As a new technology,Time Sensitive Network(TSN)can well guarantee the deterministic transmission of data.Therefore,the application of WSN and TSN to build communication network can improve the intelligent distribution network.This paper takes intelligent distribution network as the application background,and studies the routing scheduling of WSN+TSN communication network.The main work of this paper is as follows:1.Aiming at the problem of how to prolong the network lifetime and ensure the reliability of data transmission in WSN subnet of intelligent distribution communication network,a non-uniform clustering routing algorithm based on ant colony and membrane computing is proposed.First,according to the distance between each node and the sink node and the residual energy of the node,the cluster head competition radius and the cluster head competition waiting time are designed,and the network is divided into non-uniform clusters to ensure the balance of network energy consumption;then,in the data transmission stage,the membrane computing and ant colony algorithm are combined,and the transmission path is constructed by using the strong search ability of ant colony algorithm and the parallel ability of membrane computing Building.Simulation results show that the algorithm can effectively balance the network energy consumption,prolong the lifetime and ensure the reliability of data transmission.2.In order to solve the problem of uncertain delay caused by multiple data flows arriving at the switch at the same time in the transmission of wired TSN main network,quantum genetic algorithm is introduced into the traffic scheduling of TSN,and an improved quantum genetic TSN scheduling algorithm is proposed to schedule the data traffic to ensure the deterministic transmission of important data.Firstly,the network topology and data traffic are modeled and analyzed,and the traffic transmission is constrained;at the same time,niche strategy is added in the initialization to increase the population diversity;then fitness function is designed according to the path length and priority weight of the flow to be scheduled;then dynamic update rules are introduced in the angle update of quantum revolving gate to make the angle update more accurate.Finally,five complex function tests and the time required for scheduling traffic are simulated and analyzed.Simulation results show that the algorithm has better performance,can effectively reduce the time required for scheduling traffic,and ensure the uncertain delay of important data traffic.3.By using CC2530 node module and IAR development environment to build hardware experimental platform,the feasibility and effectiveness of the routing algorithm based on ant colony and membrane computing proposed in this paper are verified.Figure[46]table[5]reference[65]...