Power-Aware Classifier Selection in Wireless Sensor Networks
文献类型:期刊论文
作者 | Xiao, Kejiang1,2,3; Wang, Xiaofeng2; Wang, Rui2; Cui, Li2 |
刊名 | JOURNAL OF INFORMATION SCIENCE AND ENGINEERING
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出版日期 | 2016-03-01 |
卷号 | 32期号:2页码:439-454 |
关键词 | wireless sensor networks classification accuracy classifier selection power aware classification AdaBoost algorithm greedy algorithm 0-1 integer programming |
ISSN号 | 1016-2364 |
英文摘要 | Many wireless sensor networks (WSNs) based sensing system are as intelligent as possible to accurately sense and recognize interested targets, while large amounts of sensing data generated by WSNs and the limited energy pose great challenges to target classification in WSNs. Thus, it is necessary to obtain tradeoff between power consumption and classification accuracy. Inspired by AdaBoost algorithm, we present a power-aware classification scheme named CSBoost to cluster right classifiers forming strong final classifier. CSBoost scheme can minimize system's power consumption subject to a lower bound on classification accuracy. Specifically speaking, in order to select appropri-ate classifiers, we first give the cost function and utility function according to upper error bound of the final classifier. Then we map the classifier selection problem into 0-1 integer programming problem and provide a heuristic greedy algorithm based method to solve the problem in a polynomial-time. Finally, we conduct experiment on real data to validate and evaluate our proposed scheme. The experimental results demonstrate that CSBoost scheme can get a better performance, comparing with traditional methods. |
资助项目 | National Natural Science Foundation of China (NSFC)[61379134] ; National Natural Science Foundation of China (NSFC)[61202211] |
WOS研究方向 | Computer Science |
语种 | 英语 |
WOS记录号 | WOS:000373409500011 |
出版者 | INST INFORMATION SCIENCE |
源URL | [http://119.78.100.204/handle/2XEOYT63/8456] ![]() |
专题 | 中国科学院计算技术研究所期刊论文_英文 |
通讯作者 | Xiao, Kejiang; Wang, Xiaofeng; Wang, Rui; Cui, Li |
作者单位 | 1.Hunan Elect Power Co, State Grid Informat & Commun Co, Changsha 410007, Hunan, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100190, Peoples R China |
推荐引用方式 GB/T 7714 | Xiao, Kejiang,Wang, Xiaofeng,Wang, Rui,et al. Power-Aware Classifier Selection in Wireless Sensor Networks[J]. JOURNAL OF INFORMATION SCIENCE AND ENGINEERING,2016,32(2):439-454. |
APA | Xiao, Kejiang,Wang, Xiaofeng,Wang, Rui,&Cui, Li.(2016).Power-Aware Classifier Selection in Wireless Sensor Networks.JOURNAL OF INFORMATION SCIENCE AND ENGINEERING,32(2),439-454. |
MLA | Xiao, Kejiang,et al."Power-Aware Classifier Selection in Wireless Sensor Networks".JOURNAL OF INFORMATION SCIENCE AND ENGINEERING 32.2(2016):439-454. |
入库方式: OAI收割
来源:计算技术研究所
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