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基于不确定理论的能量收集可靠性建模及规划 被引量:9

Reliability modeling and planning of energy harvesting based on uncertainty theory
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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。 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.
作者 王哲 李陶深 叶进 葛志辉 吴敏 WANG Zhe;LI Taoshen;YE Jin;GE Zhihui;WU Min(College of Electrical Engineering, Guangxi University, Nanning 530004, China;School of Computer, Electronics and Information, Guangxi University, Nanning 530004, China;Guangxi Power Grid Co., Ltd., Nanning 530023, China)
出处 《通信学报》 EI CSCD 北大核心 2018年第5期166-176,共11页 Journal on Communications
基金 国家自然科学基金资助项目(No.61762010 No.61363067 No.61462007)~~
关键词 能量收集网络 可靠性 不确定理论 多层规划 场景生成 energy harvesting network reliability uncertainty theory multilevel programming scenarios generation
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