Research On Software Defined Sensor Network Topology Control And QoS Routing

Wireless sensor networks combine wireless communication technology with embedded system technology.It typically consists of a low-power wireless communication module,a small embedded device,and various types of sensors.It is a self-organizing multi-hop wireless communication network with functions such as data acquisition,information processing and system control.The node performs the information sensing task for any area in a collaborative manner,and it can be deployed to a poor environment.At present,there are many applications in the fields of military information collection and environmental monitoring.However,it also has some technical limitations,such as: node energy and hardware resources are limited,network use of wireless communication mode is unstable factors and network deployment environment is difficult to maintain.With the deepening of research on wireless sensor networks,some experts and scholars have realized that wireless sensor network research based on traditional network architecture has entered the bottleneck stage,and it is urgent to seek new breakthrough directions.The software defined network is a new network architecture.The architecture uses the decoupling of the data plane and the control plane,which simplifies network management operation,improves network extensibility,and has a very broad application prospect.Therefore,researchers have introduced software defined ideas into the field of wireless sensors to form a software defined wireless sensor network.This thesis is based on a relatively complete software defined wireless sensor network architecture.In view of the limited energy and uneven energy consumption of network nodes and the need to provide differentiated QoS guarantee for multiapplication services,the topology control and QoS routing technology of software defined wireless sensor networks are studied.(1)For software defined wireless sensor networks,the energy of the nodes is usually limited,and the energy consumption between nodes is not balanced,which will lead to the shortening of network lifetime.In order to accurately describe the selfish behaviors between nodes due to energy conservation,and comprehensively consider the energy efficiency and energy balance of nodes,a comprehensive utility function with improved optimization is designed by introducing game theory and adding Atkinson index.A topological game model with energy balance is proved,and the topological game model is a potential game with Pareto Optimality.Then a topology game algorithm with energy balance is proposed.The algorithm can effectively balance network energy consumption,improve network energy efficiency,and prolong network lifetime.(2)For software defined wireless sensor networks that may carry multiple application services simultaneously and need to provide differentiated QoS guarantees.The algorithm determines the quality of service of different types of data packets.At the same time,it takes into account the influence of node residual energy,data transmission delay and stability on QoS routing,and designs an improved optimization by introducing evolutionary game theory.Based on the comprehensive utility function,a differentiated service QoS routing algorithm based on evolutionary game is proposed.The algorithm can effectively provide differentiated services for multi-type data grouping,ensure that the differentiated QoS requirements of the application are met,and improve the efficiency of network operation.