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Primary User-Awareness-Based Energy-Efficient duty-cycle Scheme in Cognitive Radio Networks

Computers, Materials & Continua 2022年第3期70卷 5991-6005页

作者： Zilong Jin Chengbo Zhang Kan Yao Dun Cao Seokhoon Kim Yuanfeng Jin School of Computer Science Nanjing University of Information Science and TechnologyNanjing210044China Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology(CICAEET)Nanjing University of Information Science and Technology Nanjing210044China Jiangsu Institute of Economic and Information Technology Nanjing210003China School of Computer and Communications Engineering Changsha University of Science and TechnologyChangsha410114China Department of Computer Software Engineering Soonchunhyang UniversityAsan31538Rep.of Korea Department of Mathematics Yanbian UniversityYanji133002China

Cognitive radio devices can utilize the licensed channels in an opportunistic manner to solve the spectrum scarcity issue occurring in the unlicensed ***,these cognitive radio devices(secondary users)are greatly affected by the original users(primary users)of licensed *** users have to adjust operation parameters frequently to adapt to the dynamic network environment,which causes extra energy *** consumption can be reduced by predicting the future activity of primary ***,the traditional prediction-based algorithms require large historical data to achieve a satisfying precision accuracy which will consume a lot of time and memory ***,many of these schemes lack methods to deal with the very busy network *** this paper,one semi-supervised learning algorithm,i.e.,tri-training,has been employed to investigate the prediction of primary *** on the prediction results of tri-training,a duty-cycle mechanism and an intermediate node selection approach are proposed to improve the energy *** results show the effectiveness of the proposed algorithm.

关键词： Cognitive radio tri-training duty-cycle intermediate node energy efficiency

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Energy-Constrained duty-cycle Optimization for Wireless Implanted Communication Devices

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E-Health Telecommunication Systems and Networks 2012年第1期1卷 6-11页

作者： Zhao Xu Ye Li Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China

Energy minimization is an important goal in wireless implanted communication devices. In this context, a cross-layer method is used to optimize parameters in different layers of OSI model, but, there are still several challenges affecting the optimization algorithm. The first point is the accurate energy model, and the second point is the suitable channel model exclude traditional free space channel model. In this paper, we establish a system level accurate energy consumption model and build a suitable channel model for implanted communication devices;analysis the energy-constrained duty cycle optimization with a cross-layer method. Simulation results reveal that adaptive duty cycle to minimize the energy consumption of the wireless implanted communication system is implemented based on accurate energy consumption model and channel model. Simulation results show a good performance on energy saving.

关键词： Energy Minimization Energy Consumption Model Channel Model duty-cycle Optimization Cross-Layer

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地理路由算法在duty-cycle网络中的研究

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舰船电子工程 2010年第11期30卷 78-81,84页

作者：徐存亮王雷马灿岳文龙海军大连舰艇学院装备自动化系大连116018 大连理工大学软件学院大连116020

文章提出了duty-cycle网络中的地理路由算法MMGR(多度量地理路由)。这个算法所考虑的度量因素不仅包括传统地理路由中提到的地理距离,也包括候选节点睡眠延迟的duty-cycle。经仿真表明,在duty-cycle网络中,这种新的算法在端到端的延迟... 详细信息

文章提出了duty-cycle网络中的地理路由算法MMGR(多度量地理路由)。这个算法所考虑的度量因素不仅包括传统地理路由中提到的地理距离,也包括候选节点睡眠延迟的duty-cycle。经仿真表明,在duty-cycle网络中,这种新的算法在端到端的延迟方面比传统的GR(地理路由)算法有更好的效果。

关键词：地理路由 duty-cycle 度量

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Experimental Assessment of the Battery Lifetime in WSN Based on the duty-cycleCurrentAverageMethod

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Wireless Sensor Network 2014年第10期6卷 212-220页

作者： Leonardo Barboni Maurizio Valle Facultad de Ingenieria Universidad de la Republica Montevideo Uruguay Department of Naval Electrical Electronic and Telecommunications Engineering University of Genova Genova Italy

A great amount of work addressed methods for predicting the battery lifetime in wireless sensor systems. In spite of these efforts, the reported experimental results demonstrate that the duty-cycle current average method, which is widely used to this aim, fails in accurately estimating the battery life time of most of the presented wireless sensor system applications. The aim of this paper is to experimentally assess the duty-cycle current average method in order to give more effective insight on the effectiveness of the method. An electronic metering system, based on a dedicated PCB, has been designed and developed to experimentally measure node current consumption profiles and charge extracted from the battery in two selected case studies. A battery lifetime measurement (during 30 days) has been carried out. Experimental results have been assessed and compared with estimations given by using the duty-cycle current average method. Based on the measurement results, we show that the assumptions on which the method is based do not hold in real operating cases. The rationality of the duty-cycle current average method needs reconsidering.

关键词： Battery Lifetime Current Consumption TinyOS Measurement duty-cycle Current Average Method

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Minimum-Time Aggregation Scheduling in duty-cycled Wireless Sensor Networks

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Journal of Computer Science & Technology 2011年第6期26卷 962-970页

作者：于博李建中 CCF School of Computer Science and Technology Harbin Institute of Technology

Aggregation is an important and commonplace operation in wireless sensor networks. Due to wireless interferences aggregation in wireless sensor networks often suffers from packet collisions. In order to solve the collision problem aggregation scheduling is extensively researched in recent years. In many sensor network applications such as real-time monitoring, aggregation time is the most concerned performance. This paper considers the minimum-time aggregation scheduling problem in duty-cycled wireless sensor networks for the first time. We show that this problem is NP-hard and present an approximation algorithm based on connected dominating set. The theoretical analysis shows that the proposed algorithm is a nearly-constant approximation. Simulation shows that the scheduling algorithm has a good performance.

关键词： aggregation duty-cycle scheduling sensor network

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非授权频段V2V通信和Wi-Fi的友好共存与资源管理

非授权频段V2V通信和Wi-Fi的友好共存与资源管理

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作者：王宁北京交通大学

学位级别：硕士

随着物联网时代的到来,车联网技术越来越来受到各行各业的关注。一方面,2016年9月,基于LTE(Long Term Evolution,LTE)通信系统的车对车通信(Vehicle to Vehicle,V2V)率先完成了标准化,预示着LTE-V将成为下一代通信系统的关键技术。另一... 详细信息

随着物联网时代的到来,车联网技术越来越来受到各行各业的关注。一方面,2016年9月,基于LTE(Long Term Evolution,LTE)通信系统的车对车通信(Vehicle to Vehicle,V2V)率先完成了标准化,预示着LTE-V将成为下一代通信系统的关键技术。另一方面,全球车辆通信设备数量是十分庞大的,这加剧了本身资源紧张的授权频谱的负担。为此,开发丰富的非授权频段资源,将一部分V2V通信业务卸载到非授权频段成为了解决授权频谱资源紧张的主要研究方向。考虑到非授权频段的主要用户是Wi-Fi用户,那么关于V2V通信在非授权频段与Wi-Fi友好共存问题的研究就变得意义十分重大。本课题主要的创新点与贡献简要概括如下:第一,本文提出了一个V2V通信与Wi-Fi系统友好共存于非授权频段的通信场景:具有LTE-U功能的基站在保证Wi-Fi用户的基本QoS(Quality of Service)的前提下占用非授权频段资源进行数据传输以缓解授权频谱资源的负担。课题研究所采用的时域共享策略为:LBT(Listen-Before-Talk)、duty-cycle 和 ABS(Almost Black Subframes),并基于三种共享机制进行无线资源管理以提升系统的性能。第二,针对LBT和duty-cycle的信道接入机制:为保证V2V设备的严格可靠性和低时延的要求,本文以最大化V2V系统吞吐量为目标,建立合理的数学模型,并采用牛顿迭代算法结合拉格朗日对偶算法对模型求解,得到最优的资源分配方案,使得系统性能最优。仿真分析了算法的收敛性、相较于其他算法在性能上的优越性以及V2V与Wi-Fi共存时的系统性能。第三,针对ABS协作共存策略,本文提出了一个基于强化学习的动态空白子帧分配算法。ABS协作策略通过配置一定数量空白子帧解决异构系统共存问题,在空白子帧调度期间,LTE系统会处于静默(slienced)状态,Wi-Fi会利用这些子帧进行数据传输。本文以LTE-U系统中的子帧个数和空白子帧个数作为学习的行动策略,以V2V设备的时延、V2V设备的速率满意度以及Wi-Fi用户的速率满意度做为智能体(Agent)学习的状态,利用Q学习算法动态配置子帧数目和空白子帧数量以达到智能体累积奖赏最大的目的。仿真分析了算法的收敛性特征以及LTE和Wi-Fi的系统性能。

关键词： V2V LTE-U duty-cycle 强化学习 LBT ABS

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