Research On Cross-layer Optimization Of Wireless Sensor Network Charging Strategy Based On Interference Management

Wireless sensor networks(WSN)are commonly used in national defense military,medical monitoring,disaster warning and other fields.However,the communication interference in the open channel and energy limitation of the nodes seriously hamper the network basic performance of the network,such as network throughput and lifetime,and also affect the development and large-scale application of WSN.At present,there are few studies that consider both the interference and energy issues.Therefore,it is of great research value and practical significance to study a wireless sensor network energy supply strategy based on interference management.The combination of communication interference and energy shortage will make the system model more complicated.In order to effectively solve this problem,this paper focus on the Successive Interference Cancellation(SIC)and Wireless Energy Transmission(WET)technology.Then we adopt link scheduling strategy,time-slice scheduling scheme and energy consumption optimization protocol to construct the cross-layer optimization problem,aiming to design an effective working strategy to improve network throughput,channel utilization and extend network lifetime.The research content of this paper mainly includes:(1)The charging problem of the nodes and wireless charging devices in single hop WSN is studied.WET technology is used to charge nodes.At the same time,combining interference management with the modeling of rechargeable WSN,a power control algorithm based on SIC is proposed to realize the concurrent communication between multiple nodes and the base station,so as to optimize the power consumption of nodes and reduce energy consumption.By analyzing the working mode of WSN and wireless charging equipment,the corresponding optimization problem is established.Then,the original nonlinear optimization problem is transformed into a linear model by using an approximate linearization method.Finally,the approximate optimal solution of the original optimization problem is obtained,and the periodic work strategy of the wireless charging equipment and the nodes can be further obtained.(2)Then the charging problem of nodes and wireless charging equipment in multi hop WSN scenario is studied.In the network,SIC is used to realize multi-node concurrent communication,and wireless charging equipment is used to provide periodic charging service for sensor nodes.The idea of reinforcement learning is introduced to design an adaptive data routing strategy with the habit of self-study to reduce the energy consumption of data forwarding and balance the load of nodes.From the physical layer,data link layer and network layer,this paper discusses the working mode of the network and wireless charging equipment,and analyzes the constraints,then proposes the corresponding cross-layer optimization problem.Finally,we reformulate the optimization problem and solve it to obtain the optimal working scheme of sensor nodes and the wireless charging equipment.