Achievable Throughput Analysis and Channel Access in Energy Harvesting Cognitive Radio Sensor Network

IEEE Access

Hang Zhang¹  Jing Ren¹  Yuan Qin¹  Hang Hu²  Fengyi Cheng³ 

[1] College of Communications Engineering, PLA University of Science and Technology, Nanjing, China;Information and Navigation College, Air Force Engineering University, Xi&x2019;an, China;

关键词: Energy harvesting;    cognitive radio;    sensor network;    channel access;    Markov chain;    potential game;   

DOI  :  10.1109/ACCESS.2019.2922853

来源: DOAJ

【 摘 要 】

In this paper, we consider an energy harvesting cognitive radio sensor network (EH-CRSN), which is composed of multiple secondary users (sensor nodes) opportunistically access licensed channels. We first propose a novel single-sink EH-CRSN and derive its network throughput. Then, we extend the EH-CRSN to the multi-sink case which will cause interference among secondary communications. To deal with this problem, we optimize channel access schedule, so as to maximize the network throughput in many actual large-scale scenarios. Specifically, we formulate a mixed interaction game and demonstrated the existence of Nash equilibrium. A stochastic learning automata (SLA)-based channel selecting an algorithm is further proposed to achieve the Nash equilibrium. Finally, the simulation results verify the validity of network throughput function in single-sink EH-CRSN and show that the proposed solution can get the maximum or near-maximum system throughput.

【 授权许可】

Unknown