Research On IoT Sensor Network Resource Allocation Algorithm Based On Cognitive Radio

IoT is a industry which include a wide range of applications.Taking care of our daily living,and provide services for key enterprises.But this also means that it will faces the problem of ultra-high traffic density,ultra-high frequency spectrum requirements and larger inter-device interference.As a technology that can effectively solve the above problems,Cognitive radio network(CRN)has attracted by more and more researchers and considered as the key technology of IoT.In view of the above problems,this paper focuses on the problem of resource allocation in IoT sensor networks based on CRN.Besides,in order to manage interference,the optimal deployment of base stations also studied.The main operating point is as follows:1.Aiming at the problem that the location of the secondary IoT information gathering base station(SIGS)will directly affect the interference between primary and secondary systems,and the reasonable allocation of channel resources,a distributed scheme that determines the optimal location and operating channel of SIGSs to manage the interference and the resource allocation in cognitive radio networks for IoT sensor networks has been proposed.The scheme establishes a multi-objective optimization model based on the interference analysis of the cognitive radio underlay operating mode.The objective is maximize the secondary systems throughput and the supportable number of SIDs under protecting PU's activities.Because the multi-objectives is a nonlinear convex optimization problem,this paper uses the PSO algorithm to solve the problem.This algorithm can efficiently obtain the optimal solution with the problem complexity reduced.Simulation results show that the proposed scheme can optimize the performance of the secondary system while ensuring the priority of the primary user.At the same time,maximize the number of SIGSs service users.2.Aiming at the problem of wireless resource scarcity and errors caused by imperfect channel in Internet of things(IoT),a method for allocating bandwidth and power to secondary IoT devices(SIDs),under the condition of imperfect channel side information(CSI),are proposed in our paper.Firstly,based on the secondary and primary different situation,the imperfect CSI of links between secondary IoT users and secondary IoT base station,secondary IoT users and primary users are modeled.In order to improve the network energy efficiency,this paper divides the problem into two sub-problems: maximizing the data rate of the secondary system while minimizing the transmit power of the secondary base station.Finally,the problem is solved step by step using PSO and weighted Chebyshev algorithm,and the SID's optimal bandwidth and power allocation scheme is obtained.Simulation results shows that the proposed mechanism improves resources utiliazation,meanwhile improve the network energy efficiency.