基于不确定理论的能量收集可靠性建模及规划

王哲; 李陶深; 叶进; 葛志辉; 吴敏

doi:10.11959/j.issn.1000-436x.2018087

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基于不确定理论的能量收集可靠性建模及规划

学术通信 | 更新时间：2024-06-05

- 基于不确定理论的能量收集可靠性建模及规划
- Reliability modeling and planning of energy harvesting based on uncertainty theory
- 通信学报 2018年39卷第5期页码：166-176
- 作者机构：
  
  1. 广西大学电气工程学院，广西南宁 530004
  2. 广西大学计算机与电子信息学院，广西南宁 530004
  3. 广西电网有限责任公司，广西南宁 530023
- 作者简介：
  
  [ "王哲（1991-），男，河南南阳人，广西大学博士生，主要研究方向为电力装备与智能信息技术、能量收集无线网络、能量与信息联合传输等。" ]
  [ "李陶深（1957-），男，广西南宁人，广西大学教授、博士生导师，主要研究方向为无线Mesh网络、网络计算与信息安全、分布式工程数据库、CAD理论及应用等。" ]
  [ "叶进（1970-），女，江苏泰兴人，广西大学教授、博士生导师，主要研究方向为无线多媒体网络协议、数据中心网络、数据挖掘等。" ]
  [ "葛志辉（1978-），男，河北滦县人，广西大学教授、硕士生导师，主要研究方向为无线网络、移动计算等。" ]
  [ "吴敏（1979-），男，广西南宁人，广西电网有限责任公司科技部科技政策与规划科科长，主要研究方向为电力系统规划、新能源技术、电力电子技术等。" ]
- 基金信息：
  
  国家自然科学基金资助项目(61762010);国家自然科学基金资助项目(61363067);国家自然科学基金资助项目(61462007)
- DOI：10.11959/j.issn.1000-436x.2018087
  中图分类号： TN929.5
- 网络出版日期：2018-05，
  
  纸质出版日期：2018-05-25
- 稿件说明：
移动端阅览
王哲, 李陶深, 叶进, 等. 基于不确定理论的能量收集可靠性建模及规划[J]. 通信学报, 2018,39(5):166-176.

Zhe WANG, Taoshen LI, Jin YE, et al. Reliability modeling and planning of energy harvesting based on uncertainty theory[J]. Journal on communications, 2018, 39(5): 166-176.
王哲, 李陶深, 叶进, 等. 基于不确定理论的能量收集可靠性建模及规划[J]. 通信学报, 2018,39(5):166-176. DOI： 10.11959/j.issn.1000-436x.2018087.

Zhe WANG, Taoshen LI, Jin YE, et al. Reliability modeling and planning of energy harvesting based on uncertainty theory[J]. Journal on communications, 2018, 39(5): 166-176. DOI： 10.11959/j.issn.1000-436x.2018087.

摘要

能量收集网络（energy harvesting network）是一种新型的计算机网络形式，它通过搜寻各类环境能源，将其转化成可用的电能，然后将这些电能作为主要或辅助的电源方式供给电子设备进行网络通信。然而，能量收集过程具有极大的波动性和不确定性，传统方法基于解析概率分布函数刻画能量收集过程，无法准确模拟实际情况，导致节点死亡概率较高、可靠性无法保证。为此，提出能量收集网络节点能量收集可靠性定义，对节点能量收集的置信程度给出评价，基于不确定理论，对能量收集的可靠性进行评估分析，分别建立节点无电池和无限容量电池情况下的可靠性模型。在此基础上提出能量收集可靠性多层不确定规划模型，对模型求解并提出一种能量平均分配（EAA

energy average allocation）算法，并从理论上证明算法竞争比的上界。最后，以实际的风电数据为例，验证所提模型和方法的可行性和有效性。

Abstract

Energy harvesting network is a new form of computer networks.It can convert the environmental energy into usable electric energy

and supply the electrical energy as a primary or secondary power source to the electronic device for network communication.However

the energy harvesting process has great volatility and uncertainty

the traditional analytical method based on probability distribution function to describe the energy collection process can not accurately simulate the actual situation

resulting in higher depletion probability of nodes

then the reliability cannot be guaranteed as a result.For this

the energy harvesting reliability of energy harvesting nodes was defined

represented with the degree of normal operation

respectively set up the node reliability models with no battery and infinite battery.As an example for maximum node achievable rate

the uncertain multilevel programming model based on node reliability was put forward

then the network efficiency was improved under the premise of ensuring node reliability.An energy average allocation (EAA) algorithm was proposed and the upper bound of competitive ratio of the algorithm was proved theoretically.Finally

the actual wind power data was taken as an example to verify the feasibility and effectiveness of the proposed model and method.

关键词

Keywords

references

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