Research On Energy Consumption Of Wireless Sensor Network Based On Intelligent Optimization

Wireless sensor networks are widely used in many fields such as smart homes,smart cities,agricultural environment monitoring,forest environment monitoring,etc.due to the small size and low price of sensor nodes.However,because of the limited energy stored in the nodes,many scholars have done research on reducing the energy consumption of wireless sensor networks.Initially,the energy consumption of the network was balanced by designing a reasonable split-cluster multi-hop routing protocol.Later,with the development of wireless rechargeable technology,research about charging the sensor nodes to extend the network lifetime has been gradually developed.Therefore,it is necessary to design the split-cluster multi-hop routing protocols and study the charging strategies for wireless sensor networks for split-cluster multi-hop routing protocols.For the wireless sensor network using Leach,due to its small number of nodes and small coverage area,the use of a single trolley charging device is sufficient to replenish the energy for the whole network,for this reason,this paper designs an energy consumption model for Leach routing protocol,proposes a multi-objective Aquila single trolley charging path planning algorithm based on grid density,and improves the population update methods of the Aquila optimization algorithm for the combined optimization problem to optimize the driving path and total energy consumption of the single trolley and improve the energy utilization of the nodes.In terms of reducing the energy consumption of wireless sensor networks,this paper proposes an improved ant colony clustered multi-hop routing protocol based on a sector link selection strategy.The energy of nodes,the number of elected cluster head nodes,location,coverage and other factors are considered as the initial pheromone of nodes in the ant colony algorithm,and then the energy consumption of the whole network at each communication is taken as the optimization target to optimize the selection of cluster head nodes in the link,which can be designed to adjust its sector size adaptively according to the distance from the cluster head node to the convergence node,and to find the relaying power in the sector The sector link selection strategy with the largest cluster head node as a relay node avoids overbalancing the energy of nodes and increasing the overall overhead of the network.For the wireless sensor network with cluster multi-hop routing protocol,due to its large node size and wide coverage area,multiple carts are used for charging,and according to the faster death of nodes close to the convergence node,an energy consumption model is designed for the cluster multi-hop routing protocol,and a decomposition-based multi-objective multi-trolley charging path planning algorithm is proposed for each cart’s path using the crossover variation operator as well as roulette The gambling probability update method generates the population to optimize the total path of multiple trolleys traveling,the time of trolley charging back to the convergence node,and the energy utilization of each node.