Research On Data Collection Method Based On Mobile Sink In Sensor Network

With the development of sensor networks,more and more scholars have begun to pay attention to the research of wireless sensor networks.In many previous studies,people have conducted in-depth research and discussion on data collection in wireless sensor networks,but ignored data values,data timeliness,and uneven energy consumption of sensor nodes.Based on the existing research,this paper focuses on the data collection problem based on mobile sink in wireless sensor networks,including the following three aspects:Firstly,considering the energy limitation of the node itself,the delay of data collection and the path planning problem of the mobile sink,the problem of mobile sink data collection based on grid partition in wireless sensor networks is studied.By dividing the network into several regions of the same size and then moving the sink to a grid for data collection,in each grid,the grid head node(CH,Cell-Head)is selected according to the remaining energy of the node,and the sink is moved.Each round moves to the grid with the closest distance or the lowest remaining energy.The cluster head node forwards the data to the mobile sink and then moves the sink to return to the base station.The non-head node in each area passes the data through multi-hop forwarding.Forward to the head node.Collecting data by using mobile sinks reduces the multi-hop forwarding data transmission process of nodes,thereby reducing energy consumption and extending the network life cycle.Secondly,considering that the data collected by sensors in wireless sensor networks is usually time-sensitive,the value of the data itself usually decreases with time,and the data collection problem based on data value in wireless sensor networks is studied.Modeling data collection problems by data value.Since the data collected by nodes is usually time-sensitive,the value of data may become lower and lower with time.We use mobile sink access nodes to collect data according to data value information.Achieve the goal of maximizing data value information.At the same time,compared with the theoretical maximum data value model OPT,the method can reach at least 85% of the theoretical value.Finally,in this paper,the data collection problem is combined with clustering and mobile sink to study the data collection problem in sensor networks.In a wireless sensor network,the deployment of nodes may be uniform or uneven due to environmental factors.For a non-uniformly deployed sensor network,if network partitioning is used,there may be too many nodes in the partition.The phenomenon of too few nodes in the partition causes the node to consume energy unevenly and the network dies prematurely.Therefore,this part first adopts the node density clustering method to cluster the nodes of the whole network first.The static sensor nodes in the cluster use the multi-hop forwarding mechanism to forward the data to the cluster head node,and use genetic algorithm and ant colony optimization algorithm to plan.The path of the mobile sink that accesses the cluster head node to collect data in the network.