The concept of energy harvesting and the next generation wireless networks, as well as its development, making WSN networks (one of the supporting technologies for them) to energy harvesting supply, bandwidth and large scale. And the traditional modeling method for WSN networks is not meeting the development needs. We put forward that the fluid model driven by the multiserver queue with vacation modeling the EH CRWSNnetworks. Design, establish and improve the performance evaluation system for the networks.. Its major research contents include: (i) Modeling the characteristics of energy harvesting of networks with different model, and try to provide analytical expression of them. (ii) Based on greenEH CRWSN network operational features, we try to build the models of energy management with multiserver queue with vacation in various strategies. (iii) By introducing unity design method, we establish the fluid models witch driven by the multi server queue with vacation to model the multi-channel the networks. And we design the performance analysis models satisfy multiple constraint conditions. We try to establish a comprehensive unity model and performance evaluation system for the networks with fluid model under multiple constraint. And it would provides a complete theoretical framework and utility for modeling and performance analysis for EH CRWSN networks.
随着能量采集技术和新一代认知无线网络的提出及发展,使得网络必须在兼顾功率效率及能谱效率的同时,向能量采集模式、变尺度网络结构等方向发展。用于分析其性能的传感网络建模方法已不能满足需求。本项目拟使用随机流模型等先进建模方法对能量采集认知无线传感网络能量管理进行建模;设计、建立并完善多信道能量采集认知无线传感网络能量管理模型及性能评价体系。. 研究主要内容为:(1)建立描述能量采集特性的各种数学模型,为系统建模得到能量水平表达形式;(2)根据EH-CR-WSN网络运行特点,建立基于多策略休假排队的信道接入控制模型;(3)归一设计EH-CR-WSN网络运行流模型,设计并优化满足多约束条件的全局性能分析模型。.本项目拟建立一套完整的基于多约束条件下EH-CR-WSN网络的流排队能量管理模型及其性能评价体系,为EH-CR-WSN网络构建及系统优化提供完整的理论框架及实用工具。
基于能量采集的认知无线传感网能量管理建模研究旨在建立网络功率效率和能谱效率均衡模型。本项目使用随机流模型等建模方法对能量采集认知无线传感网络能量管理进行建模;设计、建立并完善多信道能量采集认知无线传感网络能量管理模型及性能评价体系:(1)建立了多种能量采集数学模型,得到了系统建模得到能量水平表达形式;(2)建立了基于多策略休假排队的信道接入控制模型;(3)设计了EH CRWSN网络运行流模型,设计并优化满足多约束条件的全局性能分析模型。本项目建立了一套完整的基于多约束条件下EH CRWSN网络的流排队能量管理模型及其性能评价体系,为EH CRWSN网络构建及系统优化提供完整的理论框架及实用工具。
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数据更新时间:2023-05-31
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