Research On Energy Consumption Management And Application Of Wireless Sensor Network

Since the20 th century,with the rapid development of the Internet of things,wireless sensor network as the supporting technology of the Internet of things has expanded from military applications to various industries.Wireless sensor networks(WSN)are composed of many sensor nodes.A large number of nodes with perception,computing power and communication ability make up a flexible and self-organizing wireless network by wireless communication.The main task of the wireless sensor network is to collect the target information and transmit it to the Sink for the upper level analysis.However,the communication nodes in wireless sensor networks--sensor nodes are usually equipped with limited energy sources and deployed randomly in harsh environments.Therefore,the energy saving requirement of nodes is a problem that must be faced in both hardware and software design of wireless sensor networks.How to improve the lifetime of the network,make the energy of the network nodes efficient and balance the energy consumption rate across the network has important research values and challenges.In this paper,we build a sub-loop model for the basic sensor network through the propagation radius of the node,and computer the theoretical energy consumption in the network under the sub-loop model.And we compare the energy consumption and the actual network simulation to verify the effectiveness of the model.The main work and innovation of this paper are as follows: 1?divide the nodes into some clusters under the sub-loop model.In order to balance the energy consumption of the nodes,we set up the uneven clustering of the inner and outer rings,and calculate the number of cluster heads that make the energy consumption of the cluster heads in each ring approximately equal.In order to reduce the bias caused by random factors in practical application,this paper improves the cluster head election formula of the traditional LEACH protocol,weights the distribution density and residual energy of nodes to make those nodes with more energy in the network have a greater probability of being elected as cluster head.The cluster head competition makes the clusters in the network as evenly distributed as possible and the next hop node is chosen as the relay based on the energy of the next hop node and the sending cost function.Through the above steps,the simulation results show that this method can effectively alleviate the communication load of the "hot zone" network,balancethe overall energy consumption of the network,and prolong the lifetime of the network.2 ? paper analyzes the temporal and spatial correlation information in wireless sensor networks,proposes a method of adaptively adjust the sampling frequency according to the time correlation characteristic of gathering information to eliminate the strong time correlation of the continuous periodic sampling data of nodes.And by introducing routing protocol based on spatial correlation suppression data transmission to collect information in network,the method could greatly reduces the overall energy consumption of data transmission and network in the network by sacrifice limited data accuracy in the environment monitoring and other scenarios with low data accuracy requirements.The method proposed in this paper has the advantage of small amount of calculation,distributed computing,do not depend on the prior information,and can handle the concrete data flexibly.The simulation results show that the proposed method has a good effect on reducing overall data transmission of network and increasing the energy utilization efficiency of nodes.