Research On Energy Saving Strategies For Large-scale Wireless Sensor Networks

The energy problems of large-scale wireless sensor networks(WSN)are hot issues that researchers need to solve for so many years.Due to the large-scale hierarchical network architecture,each node of the wireless sensor network is usually scattered and deployed in a very harsh environment,and the battery cannot be replaced,so the energy saving problem has become the key.From the perspective of node energy consumption,energy uniformity,service quality and routing issues,this paper studies the maximum coverage of the target,the problem of Q coverage set,the load transfer of the sink node sleep and the energy-saving routing algorithm.At the two levels of aggregation nodes and sensor nodes,co-sleeping brings about improvement in energy consumption issues,so that the power of each node in the entire network reaches a balanced level,which ensures the service quality of the network to the business and extends the life cycle.The thesis first analyzes the research background and significance of energy-saving problems in WSN,and at the same time introduces a series of domestic and foreign research status and trends of technologies and algorithms,introduces some basic theories of wireless sensor networks and their energy-saving strategies,it also briefly introduces energy-saving technologies in data transmission and processing.In large-scale wireless sensor networks,the limited battery power of nodes needs to be used to monitor the coverage of the target area for the maximum duration to ensure the quality of service transmission.Aiming at this problem,a heuristic algorithm for maximum coverage based on service quality is proposed.First,the coverage problem and the target Q coverage problem are analyzed,and the Q coverage model is proposed.The sensor node with the largest remaining battery power and the largest coverage of the uncovered target is given priority.On the premise of ensuring the quality of service,the Q coverage is updated.The collective rotation work makes the maximum coverage last longer,the energy consumption of the node reaches a balanced level,avoids the redundant coverage of key target area,and prolongs the network life cycle.Different from the traditional sleep algorithm,this paper aims at the joint sleep scheduling of sink nodes and sensor nodes,and proposes an energy-saving strategy based on sink node sleep and load balancing.For the problem of transferring load during sleep,firstly,the path correlation coefficient is defined,the sleep mechanism of the sink node is proposed,and the sensor nodes that sleep together with it are determined;then the load transfer mechanism is defined,a load balancing algorithm based on data flow is proposed,which uses the powerful functions of transfer path to perform data discharge and achieve load balancing.This is an active early intervention strategy,which is more practical in large-scale wireless sensor networks.The routing problem is analyzed,and the network energy consumption model is defined.Finally,the position distribution and residual energy threshold are introduced in the competition of cluster heads in the cluster,which makes the selection of cluster heads more reasonable;in the multi-hop transmission between clusters,the node position,residual energy,number of nodes in the cluster and retransmission are considered.The four factors of frequency increase the overall network data transmission efficiency.The algorithm makes the overall network more connected,the transmission is more stable,the energy consumption is more uniform,and the life of network is prolonged.