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학술지 An Efficient Data Fusion and Assurance Mechanism using Temporal and Spatial Correlations for Home Automation Networks
Cited 13 time in scopus Download 1 time Share share facebook twitter linkedin kakaostory
저자
최경, 김미희, 채기준, 박종준, 주성순
발행일
200908
출처
IEEE Transactions on Consumer Electronics, v.55 no.3, pp.1330-1336
ISSN
0098-3063
출판사
IEEE
DOI
https://dx.doi.org/10.1109/TCE.2009.5277996
협약과제
09IC2100, QoS 및 확장성지원(S-MoRe) 센서네트워크 고도화 기술개발 (표준화연계), 채종석
초록
In this paper, we propose an efficient and accurate data fusion mechanism through temporal and spatial correlations for Home Automation Networks. Data fusion is a process to decrease the transmission number of similar sensory values, thus its importance is in the spotlight because energy efficiency is a main issue on the networks. In order to reduce the transmission amount of data, each device decides whether to send new sensing data or not after comparing it with previous sensing values(temporal correlation) and the last transmitted value of the neighbor device(spatial correlation) which is a one-hop range via a predetermined user threshold. Our mechanism includes a commit and assurance process for security enhancement. For the performance evaluation of our mechanism, we use the temperature data measured on real networks and extend them using Gaussian distribution in order to obtain the more test data sets. The simulation results show that using both types of correlations is more efficient than just using one type for data fusion in terms of the data transmission amount and accuracy. Moreover, our simulation for the commit and assurance process demonstrates only slightly more energy. © 2009 IEEE.
KSP 제안 키워드
Data fusion, Data sets, Data transmission, Energy Efficiency, Fusion mechanism, Gaussian Distribution, Home automation networks, Performance evaluation, Real networks, Security enhancement, Sensing data