Research On Energy Routing Protocol In Cognitive Wireless Sensor Networks On Artificial Intelligence Algorithm In Cognitive Wireless Network

Wireless sensor networks have become critical solutions for improving the quality of life in many daily activities.Cognitive radios allow opportunistic spectrum access,and can autonomously monitor spectrum usage and decide which frequency band is free,cognitive wireless sensor networks are attracting increasing attention.The basic challenge of cognitive wireless sensor networks is the efficient use of node battery energy to increase network lifetime.Among them,the routing protocol profoundly affects the effective and orderly operation of the network.In order to alleviate this problem,this paper proposes a combined design of stable routing and heterogeneous clustering routing to achieve efficient and fast data communication in the system while minimizing control signal overhead.The main research content of this thesis:First,the issue of how to reduce link failure and energy consumption in cognitive wireless sensor networks is studied.In order to reduce the energy consumption of nodes and improve the data transmission capability,a stability-based energy efficiency routing protocol is proposed.The protocol introduces stability factors.By using an authorized user channel model and constantly adjusting the stability factor to study the relationship between path selection and system energy consumption,a reasonable path selection scheme with minimal impact on the owner user is found.Reduce the number of link failures,improve data transmission capabilities,and ensure a smaller energy consumption,which can effectively balance the network energy and extend the network life cycle.The experimental results are consistent with the theoretical analysis results,and verify that the proposed protocol has better performance in terms of energy consumption and data transmission capability.Second,the problem of enhancing spectrum stability and improving routing energy efficiency in cognitive wireless sensor networks is studied.Aiming at the dynamic spectrum change caused by the random cluster head election mechanism and the unbalanced consumption of routing energy efficiency,a circular energy-saving clustering routing protocol is proposed.In this protocol,a ring-domain communication topology with the same area in each ring is formed according to different locations of nodes.Then,the number of idle channels perceived by the node is used as the weight probability to select the cluster head,the number of clusters outside the convergence zone is optimized,and the next hop node with the optimal transmission cost function is selected during the inter-domain communication.This reduces the energy consumed by sending and receiving data packets,improves the robustness of the protocol,and more balanced energy consumption.Simulation results show that the proposed routing protocol further improves energy efficiency and network life cycle,and enhances spectrum stability.