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Power-Aware Classifier Selection in Wireless Sensor Networks
Xiao, Kejiang1,2,3; Wang, Xiaofeng1; Wang, Rui1; Cui, Li1
2016-03-01
发表期刊JOURNAL OF INFORMATION SCIENCE AND ENGINEERING
ISSN1016-2364
卷号32期号:2页码:439-454
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.
关键词wireless sensor networks classification accuracy classifier selection power aware classification AdaBoost algorithm greedy algorithm 0-1 integer programming
收录类别SCI
语种英语
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
WOS类目Computer Science, Information Systems
WOS记录号WOS:000373409500011
出版者INST INFORMATION SCIENCE
引用统计
被引频次:2[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.204/handle/2XEOYT63/8457
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.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100190, Peoples R China
3.Hunan Elect Power Co, State Grid Informat & Commun Co, Changsha 410007, Hunan, Peoples R China
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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.
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