Research On WSNs Energy Optimization Strategy Based On Virtual Force

With the maturity of wireless communication technology,sensor technology and microelectronics technology,wireless sensor networks(WSN)are widely used in environmental monitoring,forest fire alarm,disaster self-rescue and medical care.Wireless sensor networks are composed of several sensor nodes.Sensors are generally regarded as the carrier for sensing and receiving environmental information in sensor networks,and are widely distributed.However,due to the defects of small size,limited carrying energy and unstable signal,the sensor has great limitations in practical application.Virtual force algorithm(VFA)abstracts nodes into particles in virtual potential field according to the concept of gravity in physical mechanics,so that there is virtual Coulomb force between nodes,and reasonably designs virtual potential field in the network.Nodes can move or deploy according to their combined forces,which can effectively improve network performance and save energy.This dissertation optimizes the network from three aspects: node deployment,network partition,and energy supply,combined with virtual force algorithm.The main research contents are as follows:(1)In the practical application of wireless sensor networks,there are often different working pressure levels of nodes in different zones,so targeted non-uniform node deployment is more helpful to optimize the application of wireless sensor networks.Therefore,this dissertation proposes a dynamic deployment algorithm of non-uniform nodes based on virtual force,The stress models of nodes in different grids under different energy consumption levels are designed,and nodes are dynamically deployed according to the change of energy coverage to optimize network performance.(2)In the heterogeneous sensor network dominated by multi-hop data transmission,the nodes near the base station Sink are likely to starve to death prematurely due to the excessive compression and transmission of data from the outer nodes,resulting in the problem of energy holes.Therefore,this dissertation proposes a non-uniform partition cluster head selection algorithm based on virtual force,which can reasonably partition the entire network,and select cluster head nodes for information transmission between partitions,Optimize the network structure and extend the network life.(3)The sensor nodes are small,the battery energy is limited,and the working efficiency is affected by the environment,so the node energy supply and node survival rate become the key factors that affect the performance and development of sensor networks.Therefore,this dissertation proposes a WCV car energy supply strategy based on virtual force,which comprehensively considers the working state of nodes,designs the collection and sleep mechanism of nodes to be charged,and constructs the virtual force model of WCV car in the steady-state network,The node survival rate is effectively improved.