In this paper, we study the throughput optimization problem in energy harvesting based cognitive Internet of Things (IoT), under cooperative spectrum sensing mode. Considering the user diversity in energy harvesting efficiency, spectrum sensing performance and data quality-of-service requirement, we optimize the harvesting-sensing-transmission tradeoff. To achieve this, we formulate it as a network-level throughput optimization problem by jointly optimizing time splitting and sensor selection. With the proposed throughput-based greedy algorithm, we first fix the sensor selection variable, and then transform the problem into an equivalent convex optimization problem. Simulation results show that our proposed scheme has great advantages in terms of secondary network throughput.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Throughput Optimization in Energy Harvesting based Cognitive IoT with Cooperative Sensing


    Contributors:
    Long, Yan (author) / Li, Ye (author) / Ju, Honghao (author) / He, Rong (author) / Fang, Xuming (author)


    Publication date :

    2021-04-01


    Size :

    1362891 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Joint Optimization of Energy Harvesting and Spectrum Sensing for Energy Harvesting Cognitive Radio

    Zhang, Shaojie / Zhao, Haitao / Hafid, Abdelhakim Senhaji et al. | IEEE | 2016


    Cognitive Radio Networking with Cooperative Relaying and Energy Harvesting

    Masadeh, Ala'eddin / Kamal, Ahmed E. / Wang, Zhengdao | IEEE | 2017


    Optimal Cooperative Strategy in Energy Harvesting Cognitive Radio Networks

    Li, Fudong / Jiang, Hai / Fan, Rongfei et al. | IEEE | 2017