MINING USER GOALS FOR INDOOR LOCATION-BASED SERVICES WITH LOW ENERGY AND HIGH QoS | |
Chen, Yiqiang; Qi, Juan; Sun, Zhuo; Ning, Qiong | |
刊名 | COMPUTATIONAL INTELLIGENCE
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2010-08-01 | |
卷号 | 26期号:3页码:318-336 |
关键词 | indoor localization goal recognition energy efficiency |
ISSN号 | 0824-7935 |
英文摘要 | Location-based services (LBSs) play a very important role in pervasive computing environment, and QoS (quality of service) is one of the key evaluations for LBS. To maintain high QoS, the traditional approaches rely on accurate and continuous localization. However, the energy consumption of the mobile device under this situation is often too high for practical applications. Thus, it seems that the energy consumption and QoS become two conflicting factors in LBS systems. In this article, a new adaptive goal-aware computing framework (Adaware) is proposed to solve this contradiction. We show that the QoS of LBS can be evaluated by recognizing user goals. We design new algorithms to mine user goals from discontinuous location data to reduce the energy consumption while keeping a high QoS at the same time. More specifically, Adaware employs an accelerometer to implement motion-based localization, which greatly reduces the unnecessary energy consumption on Wi-Fi scanning compared to the original continuous localization methods. Then based on the estimated discontiguous critical point traces which have been postprocessed by our proposed Localization Confident Coefficient filter method, a novel N-gram goal inference algorithm is used to predict the accurate goal. The experimental results in real-world wireless network environments validate the effectiveness of our framework. We can get 80% QoS under 70% location estimation accuracy within 10 meters and 30% energy saving compared to continuous Wi-Fi scanning. |
资助项目 | National Natural Science Foundation of China[90820303] ; National High Technology Development 863 Program of China[2007AA01Z305] |
WOS研究方向 | Computer Science |
语种 | 英语 |
出版者 | WILEY-BLACKWELL |
WOS记录号 | WOS:000280359100006 |
内容类型 | 期刊论文 |
源URL | [http://119.78.100.204/handle/2XEOYT63/12344] ![]() |
专题 | 中国科学院计算技术研究所期刊论文_英文 |
通讯作者 | Chen, Yiqiang |
作者单位 | Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Chen, Yiqiang,Qi, Juan,Sun, Zhuo,et al. MINING USER GOALS FOR INDOOR LOCATION-BASED SERVICES WITH LOW ENERGY AND HIGH QoS[J]. COMPUTATIONAL INTELLIGENCE,2010,26(3):318-336. |
APA | Chen, Yiqiang,Qi, Juan,Sun, Zhuo,&Ning, Qiong.(2010).MINING USER GOALS FOR INDOOR LOCATION-BASED SERVICES WITH LOW ENERGY AND HIGH QoS.COMPUTATIONAL INTELLIGENCE,26(3),318-336. |
MLA | Chen, Yiqiang,et al."MINING USER GOALS FOR INDOOR LOCATION-BASED SERVICES WITH LOW ENERGY AND HIGH QoS".COMPUTATIONAL INTELLIGENCE 26.3(2010):318-336. |
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