The Strategy Research Of The Optimization About The Path Of The Charging Nodes In The Wireless Sensor Networks Of Large Structures

The monitoring technology about the large civil engineering structures has become a worldwide research topic.With the development of computer technology,together with constantly breakthrough of wireless communication technology,and progress of low power multi-functional embedded technology,wireless sensor network is widely applied to many application fields,so in recent years,wireless sensor networks has been become a key research object of many researchers.In order to maintain the normal operation of wireless sensor networks,the energy of sensor nodes is an urgent problem to be solved,which is also the key factor to determine the lifetime of wireless sensor networks.With the beginning of research of the wireless sensor network energy problem,various strategies of energy supply had been researched in the thesis had.The traditional methods,such as energy saving method,or energy from the surrounding nature cannot be a stable maintenance of the wireless sensor network for a long time,so with high efficiency of wireless charging technology to supply energy sensor node in the network has been widely used.The main problem we are facing of wireless charging technology to the sensor node is how to design the charging path optimization of mobile charging node.The optimization of the charging path can not only increase the sum of the energy of the sensor nodes in the whole network,but also efficiently improve the charging,and reduce the energy consumption of the whole wireless sensor network.In this thesis,we make a research and deeply study of traversal access nodes,access nodes periodically,request access node and co-ordinate nodes the four path optimization method,and make an analysis on the four path optimization in practical use in the neglect of some factors.In the full analysis of the above four charging path optimization advantages and disadvantages,combined with two characteristics of rigorous condition when selecting the priority of low energy sensor node and complexity of distribution of all the sensor nodes in the wireless sensor network,we propose a new model of mobile charging node path planning,of which the main idea is that the whole network was divided into a plurality of grid,in each grid of which some nodes are selected as charging the target node,and then calculate how much energy each grid can supply.In the limited path length,we choose the grid which can supply the maximum of the energy as mobile charging access grid nodes.And these nodes have been charged which were regarded as the root ones and the shortest path data tree has been established to collect sensor data collection.The sensor node is the root node to establish the shortest path data tree to collect the data collected by the sensor.Furtherly based on the optimization model,a charging path optimization algorithm was proposed,which include network division,charging node within the grid selected,the charging grid cell selection and establishment of shortest path tree for data collection.The computer simulation and experiments show that the mobile charging vehicle routing optimization strategy caneffectively improve the charge of per vehicle wheel energy supply and ensure the persistent network operation,reduce energy of network data,and improve charging efficiency in the use of node.