Research On The Application Of Rechargeable Mobile Nodes In Wireless Water Monitoring Networks

On-line monitoring of water quality is an important measure for effective management of the water environment.At present,environmental water quality monitoring is developing towards automatic,intelligent,and networked monitoring.In the water area monitoring of the traditional wireless sensor networks(WSN),the monitoring data are mostly transmitted to the base station through multi-hop.However,there are many problems in multi-hop transmission in traditional wireless sensor networks,such as energy hole,uneven energy consumption,unreliable data transmission,and so on.Using mobile sink nodes for data collection and wireless charging can not only improve the balance of energy consumption,improve the reliability and flexibility of data collection,but also prolong the service life of the network.As a mobile sink node,the rechargeable mobile node(RMN)is used to optimize the data collection path of cluster-head nodes in hierarchical networks.A path planning algorithm based on energy prediction in a single RMN scenario and a path equalization algorithm based on the ratio in multiple RMN scenarios are proposed,at the same time,the theoretical analysis and simulation verification is carried out.The main tasks are as follows:(1)The characteristics of wireless sensor network are analyzed,and the problems that need to be solved of water monitoring are studied;(2)In the water monitoring wireless network,some key nodes have heavy tasks,high energy consumption and short life cycle,a hybrid wireless rechargeable sensor network(HWRSN)model is proposed for water monitoring common nodes,rechargeable sensor nodes and rechargeable mobile nodes working together.A wireless energy transceiver is provided to some of the key nodes with heavy tasks and high energy consumption.At the same time,it is used as a stopping point for mobile convergent nodes to transmit data to RMN and obtain an energy supplement.(3)The problem of network coverage is studied.Then the dynamic node arrangement method based on virtual force is studied;(4)An improved dynamic clustering algorithm is proposed for clustering.To improve the scalability of the network and balance the energy consumption of the network based on the criterion of distance,the improved K mean algorithm is used to cluster the sensor nodes and produce the cluster center as the arrangement point of the rechargeable node,that is,the cluster head node;(5)Under a single RMN scenario,because of the limited energy of a single RMN,it is difficult to complete the data collection task in large-scale water monitoring wireless networks at one time.a path planning algorithm based on energy prediction is proposed,which enables mobile nodes to plan the path reasonably,minimize the and complete data collection tasks under their limited energy;(6)Under multiple RMN scenarios,to make multiple RMN work together better,a ratio-based path equalization algorithm(PEABR)is proposed to adjust the MN path,further reduce and equalize the path length to meet the constraints,and optimize the path planning scheme;(7)The network coverage strategy,clustering strategy,path planning algorithm based on energy prediction and path equalization algorithm based on ratio are simulated and the reliability of data transmission in specific scenarios is tested to verify the feasibility and effectiveness of the design scheme of water monitoring wireless network.