TY - GEN
T1 - A Scheme for Sensor Data Reconstruction in Smart Home
AU - Du, Yegang
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - Today, a large number of sensors are spatially deployed to monitor the environment in smart home. Through sensed data, home automation systems can perceive the surroundings and further provide corresponding services. However, such systems rely on highly available data which cannot be guaranteed by sensors. If some sensors report unavailable data to home automation systems without verification, the systems might malfunction and even affect the safety of residents. In this paper, a generalized highly available data interpolation (HADI) scheme is proposed to serve as a guarantor for sensed data in smart home. HADI takes advantage of the relationship between the faulty sensor and the other heterogeneous sensors to reconstruct the highly available data. Experiments reveal that our proposed scheme can achieve high data availability with less computation cost.
AB - Today, a large number of sensors are spatially deployed to monitor the environment in smart home. Through sensed data, home automation systems can perceive the surroundings and further provide corresponding services. However, such systems rely on highly available data which cannot be guaranteed by sensors. If some sensors report unavailable data to home automation systems without verification, the systems might malfunction and even affect the safety of residents. In this paper, a generalized highly available data interpolation (HADI) scheme is proposed to serve as a guarantor for sensed data in smart home. HADI takes advantage of the relationship between the faulty sensor and the other heterogeneous sensors to reconstruct the highly available data. Experiments reveal that our proposed scheme can achieve high data availability with less computation cost.
KW - Data availability
KW - Data interpolation
KW - Data restoration
KW - Home sensor
KW - Smart home
UR - http://www.scopus.com/inward/record.url?scp=85123292574&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85123292574&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-92708-0_19
DO - 10.1007/978-3-030-92708-0_19
M3 - Conference contribution
AN - SCOPUS:85123292574
SN - 9783030927073
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 304
EP - 313
BT - Network and System Security - 15th International Conference, NSS 2021, Proceedings
A2 - Yang, Min
A2 - Chen, Chao
A2 - Liu, Yang
PB - Springer Science and Business Media Deutschland GmbH
T2 - 15th International Conference on Network and System Security, NSS 2021
Y2 - 23 October 2021 through 23 October 2021
ER -