Dynamic Generation of Internet of Things Organizational Structures Through Evolutionary Computing
文献类型：期刊论文
| 作者 | Shen, Zhiqi1,4; Yu, Han1,4; Yu, Ling4; Miao, Chunyan1,4; Chen, Yiqiang2,3; Lesser, Victor R.5 |
| 刊名 | IEEE INTERNET OF THINGS JOURNAL
 |
| 出版日期 | 2018-04-01 |
| 卷号 | 5期号:2页码:943-954 |
| 关键词 | Evolutionary computing Internet of Things (IoT) organization |
| ISSN号 | 2327-4662 |
| DOI | 10.1109/JIOT.2018.2795548 |
| 英文摘要 | In today's world, intelligent embedded devices and sensors are interconnected into a dynamic and global network infrastructure is referred to as the Internet of Things (IoT). It has been widely recognized that the performance of an IoT is highly affected by how it is organized. A large-scale system may have billions of possible ways of being organized, which makes it impractical to find a high quality choice of organization by manual means. In this paper, we propose a genetic algorithm (GA) aided framework for generating hierarchical IoT organizational structures. We propose a novel unique mapping between organizational structures and genome representations. Since hierarchical (i.e., tree-structured) organizations are one of the most common forms of organizations, we propose a novel method to map the phenotypic hierarchical structure space into a genome-like array representation space. This new representation opens up opportunities for evolutionary computing techniques to help IoT applications automatically generate organizational structures according to desired objective functions. Based on this mapping, we introduce the hierarchical GA which enriches standard genetic programming approaches with the hierarchical crossover operator with a repair strategy and the mutation of small perturbation operator. The proposed approach is evaluated in an IoT-based information retrieval system. The results have shown that competitive baseline structures which lead to IoT organizations with good performance in terms of utility can be found by the proposed approach during the evolutionary search. Compared with the traditional genetic operators, the newly introduced operators produced organizations of higher utility more consistently under a variety of test cases. The proposed approach is computationally efficient in large search spaces and provides a novel method for future generations of IoT systems to autonomously improve performance. |
| 资助项目 | National Research Foundation, Prime Minister's Office, Singapore, under its IDM Futures Funding Initiative ; Nanyang Technological University, Nanyang Assistant Professorship ; NTU-PKU Joint Research Institute ; Nanyang Technological University ; Peking University through the Ng Teng Fong Charitable Foundation ; National Key Research and Development Plan of China[2017YFB1002801] ; Natural Science Foundation of China[61572471] ; Natural Science Foundation of China[61502456] ; Science and Technology Planning Project of Guangdong Province[2015B010105001] |
| WOS研究方向 | Computer Science ; Engineering ; Telecommunications |
| 语种 | 英语 |
| WOS记录号 | WOS:000429971100044 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/5337]  |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Yu, Han |
| 作者单位 | 1.Nanyang Technol Univ, Joint NTU UBC Res Ctr Excellence Act Living Elder, Singapore 639798, Singapore 2.Chinese Acad Sci, Inst Comp Technol, Beijing Key Lab Mobile Comp & Pervas Device, Beijing 100190, Peoples R China 3.Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing 100049, Peoples R China 4.Nanyang Technol Univ, Sch Comp Sci & Engn, Singapore 639798, Singapore 5.Univ Massachusetts, Sch Comp Sci, Amherst, MA 01003 USA |
| 推荐引用方式 GB/T 7714 | Shen, Zhiqi,Yu, Han,Yu, Ling,et al. Dynamic Generation of Internet of Things Organizational Structures Through Evolutionary Computing[J]. IEEE INTERNET OF THINGS JOURNAL,2018,5(2):943-954. |
| APA | Shen, Zhiqi,Yu, Han,Yu, Ling,Miao, Chunyan,Chen, Yiqiang,&Lesser, Victor R..(2018).Dynamic Generation of Internet of Things Organizational Structures Through Evolutionary Computing.IEEE INTERNET OF THINGS JOURNAL,5(2),943-954. |
| MLA | Shen, Zhiqi,et al."Dynamic Generation of Internet of Things Organizational Structures Through Evolutionary Computing".IEEE INTERNET OF THINGS JOURNAL 5.2(2018):943-954. |
入库方式： OAI收割
来源：计算技术研究所
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