Research On Wireless Sensor Network Routing Algorithm For Intelligent Allocation Of Electricity

Intelligent distribution system as a key part of the power grid in the construction of smart grid plays an important role.Under such circumstances,wireless communication technologies,gradually reveal their unique advantages and are widely used in the field of smart power.Therefore,it is of great significance to study WSN routing algorithm in intelligent distribution system.Based on the analysis of the characteristics of intelligent distribution system,communication requirements and communication methods,the wireless sensor network is taken as an extension layer of perception.Then,the existing WSN routing protocols are analyzed in depth.The design features and challenges of WSN routing protocols are discussed,which lays the foundation for the design of routing algorithms.Aiming at the characteristics and requirements of local network in intelligent distribution system,this paper proposed a WSN routing algorithm based on fusion decision by integrating the spatial relationship of sensor nodes and traffic load.A decision matrix is established,the two-dimensional plane is established by the distance from each candidate node to the positive ideal solution and the negative ideal solution,the distance between each candidate node and the best ideal reference point is calculated,the candidate node closest to the best ideal reference point is selected as the next-hop node.Simulation results show that the proposed algorithm can effectively alleviate congestion and meet the requirements of good network delay and energy consumption.In order to guarantee the service quality of various communication services as much as possible and reduce the network energy consumption at the same time,this paper proposed a routing strategy for active wireless sensor networks by integrating the spatial relationship of sensor nodes and traffic load,the data packet is sent to sink node under the action of gravity.IThe simulation results show that this algorithm can effectively avoid congestion and satisfy the requirements of network delay and energy consumption while considering the role of space gravity or time gravity.