Research On Mobile Energy Supplement Strategy Of Wireless Sensor Network Based On Virtual Backbone Network

As one of the important means of contemporary information acquisition,Wireless Sensor Networks(WSNs)are widely concerned by all walks of life.Wireless sensor networks consist of large number of low-cost and low-power sensor nodes.In wireless sensor networks,sensor nodes are powered by their own batteries,which are energy-constrained and difficult to replenish.Therefore,to solve the problem of energy in the network has become a key issue for the research of wireless sensor networks.With the rapid development of wireless charging technology,solutions to the problem of limited energy in wireless sensor networks are provided.In recent years,researchers have put forward many energy supplement schemes based on wireless charging technology.Currently,there are mainly two forms of energy supplement methods,one is offline charging method,that is,energy supplement accords to a planned charging route in advance.The other is the online charging method,which determines the charging target accords to the residual energy of the sensor node.They are all based on the planar structure of the energy supplement strategy,the key lies in the planning of the charging path.However,they all have one common problem that is not able to solve the problem of energy starvation in the network.In this paper,aiming at the deficiency of current energy supplement scheme,a mobile energy supplement scheme based on hierarchical structure is proposed.In wireless sensor networks,the backbone network can facilitate data aggregation and facilitate energy efficient data collection.However,it faces the problem of excessive energy consumption of the backbone nodes and the interruption of the backbone network due to the exhaustion of nodes.In this paper,we combine the backbone network technology and wireless charging technology to solve the problem of excessive energy consumption of the backbone nodes in the network so as to achieve efficient data collection.The main contributions of this paper include the following:1.The paper presents a wireless sensor network charging algorithm for the construction of virtual backbone network.The VBMERS algorithm is studied in wireless sensor networks.The main goal of this strategy is to construct a reasonable and dominant set to reduce the energy consumption of sensor node in the process of information transmission,In the process of constructing the backbone network,we first look for the largest independent set(MIS)in the network,and construct the initial connected dominating set(O-CDS)accords to the largest independent set.Finally,the initial connected dominating set is tailored accords to the cutting rules and finally constructed Backbone.The simulation results show that the backbone network constructed in this paper can effectively reduce the energy consumption of sensor nodes and prolong lifetime of the network.2.The paper proposes a mobile energy supplement strategy(VAMERS)based on a virtual backbone network with hierarchy.This strategy uses mobile energy supplement technology to solve the problem of excessive energy consumption of backbone nodes in wireless sensor networks,Energy supplement.The VAMERS policy calculates its priority accords to the current traffic of the sensor nodes to be charged,and always selects the node with the highest priority as the charging candidate to try to preferentially load the nodes with large loads not to prevent the nodes from rapidly entering the energy starvation state.The simulation results show that the VAMERS strategy can effectively solve the energy starvation problem of nodes,reduce the node failure rate and charging cost,and prolong the life cycle of sensor networks.