Research On Joint Power Control And Cognitive Routing Technology In Forestry Internet Of Things

Wireless sensor network is an important component of forestry Internet of things, and it has great potential in forest resources monitoring, forest disaster monitoring, ecological monitoring and so on. With the continuous growth of forestry areas of wireless sensor networks with high transmission rate requirement, the gap between spectrum resources supply and demand of wireless spectrum resources is growing.Cognitive Radio (CR) technology is a new wireless communication technology which can make full use of spectrum resources. CR can sense the unused spectrum resources of the authorized network and use the licensed spectrum without interfering primary users (PUs), CR can improve the utilization of licensed spectrum resources, and is an effective solution to solve the shortage of spectrum resources in the current wireless communication field.Cognitive wireless sensor network (CRSN) is a wireless sensor network that uses CR technology to alleviate the lack of spectrum and improve the network throughput. Routing technology is one of the key technologies of CRSNs, and it is the foundation of communication in CRSNs. Meanwhile, because CRSNs have the characteristics of spectrum dynamics, diversity and diversity, it is urgent to study how to improve the network throughput and quality of service by using spectrum holes in CRSNs. Routing problem with the objective of minimizing the outage probability and the interference and energy consumption in CRSNs are studied in this paper.1) An end-to-end route outage occurs, if SINR at the receiver of any link between source and destination fails to achieve to a value greater than or equal to a predetermined threshold in CRSNs. Aim at this problem, joint power control, routing and spectrum (channel) allocation scheme is investigated under total transmission power and interference constraints to PUs. The goal is to minimize the end-to-end outage probability of the CRSNs. An algorithm joint power control, routing and channel allocation based on genetic algorithm (JPCRA) is proposed in this paper. Simulation results show that the proposed algorithm can achieve the expected goal. It can achieve lower outage and interference to PUs.2) The problems of interference power to primary user due to secondary user and secondary user runs out of energy under underlay spectrum access model in CRSNs is investigated. Joint power control, routing and spectrum (channel) allocation algorithm (PRSA) based on particle swarm optimization is proposed in this paper. PRSA contains particle encode, particle initialization, fitness function, particle flight. The objective of PRSA is to minimize interference power to primary user and maximize lifetime of CRSNs. An Adjacency matrix with two-tuples which contains allocated channel and power level is designed, and three operation rules for particle are redefined in this paper. Simulation results show that PRSA can achieve the expected goal. It can minimize interference power to primary user and maximize lifetime.