Research On Wireless Sensor Network Routing Protocol For Extreme Deployment Conditions

With the advent of the DT(Data Technology)era,the dependence of social production and daily life on data continues to increase.For data such as e-commerce and social media,it can be collected directly through the Internet,while for geological disaster warning data and wildlife protection data that are difficult to collect directly through the Internet,wireless sensor networks are an effective means of data collection.A WSN is a network composed of a base station and a number of low-cost,small,and easy-to-deploy sensor nodes to perceive a specific area and collect data.Traditional wireless sensor networks will deploy redundant nodes to improve network performance and prolong network lifetime.However,under extreme deployment conditions,the cost of sensor node deployment is much higher than the cost of the sensor itself,making the deployment of redundant nodes infeasible.In such application scenarios,the methods used in traditional wireless sensor networks to prolong the network lifetime will no longer be applicable,and extending the network lifetime has become a new research topic.With respect to the new usage requirements of wireless sensor network data collection under extreme deployment conditions,this article mainly carried out the following work:(1)Facing extreme deployment conditions,the application scenarios of wireless sensor networks under the constraints of low redundancy and multi-hop are described,and the network survival time under this application scenario is modeled and analyzed.The impact of extreme deployment conditions on the deployment and work of the wireless sensor network is analyzed,and it is summarized that under extreme deployment conditions,the wireless sensor network needs to achieve its expected function under the constraints of low redundancy and multi-hop.For the low-redundancy,multi-hop wireless sensor network,the lifetime of the network is redefined,and the integer linear programming model of its lifetime is established from the dimension of the routing strategy.(2)A method to solve the network lifetime model based on the construction method in the case of a large network is proposed.Since it is difficult to accurately solve the integer linear programming model under the condition of a large network,a method of constructing a transmission schedule that comprehensively considers the remaining energy of the sensor node,the in-degree of the node,and the energy consumption of the node is proposed as the solution of the model,and the transmission schedule controls the routing of the whole network.The effectiveness of the solution method based on the construction method is verified by simulation experiment.(3)The improved Genetic Algorithm is used to optimize the result of the construction method.Aiming at the problem that the solution method based on the construction method in the simulation experiment is unstable in the specific node distributions,the feasibility of optimization is analyzed,and the optimizable solution is optimized using Genetic Algorithm.In the process of using the genetic algorithm,the generation of the initial solution and the fitness function have been specifically improved.The simulation experiment results show that using the optimized transmission schedule,the lifetime of the network is significantly improved.