Sensors 2012, 12(7), 8447-8464; doi:10.3390/s120708447
Article

Detecting Service Chains and Feature Interactions in Sensor-Driven Home Network Services

Received: 2 May 2012; in revised form: 4 June 2012 / Accepted: 18 June 2012 / Published: 25 June 2012
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: Sensor-driven services often cause chain reactions, since one service may generate an environmental impact that automatically triggers another service. We first propose a framework that can formalize and detect such service chains based on ECA (event, condition, action) rules. Although the service chain can be a major source of feature interactions, not all service chains lead to harmful interactions. Therefore, we then propose a method that identifies feature interactions within the service chains. Specifically, we characterize the degree of deviation of every service chain by evaluating the gap between expected and actual service states. An experimental evaluation demonstrates that the proposed method successfully detects 11 service chains and 6 feature interactions within 7 practical sensor-driven services.
Keywords: smart home; home network system; sensor-driven service; feature interactions; detection; validation
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MDPI and ACS Style

Inada, T.; Igaki, H.; Ikegami, K.; Matsumoto, S.; Nakamura, M.; Kusumoto, S. Detecting Service Chains and Feature Interactions in Sensor-Driven Home Network Services. Sensors 2012, 12, 8447-8464.

AMA Style

Inada T, Igaki H, Ikegami K, Matsumoto S, Nakamura M, Kusumoto S. Detecting Service Chains and Feature Interactions in Sensor-Driven Home Network Services. Sensors. 2012; 12(7):8447-8464.

Chicago/Turabian Style

Inada, Takuya; Igaki, Hiroshi; Ikegami, Kosuke; Matsumoto, Shinsuke; Nakamura, Masahide; Kusumoto, Shinji. 2012. "Detecting Service Chains and Feature Interactions in Sensor-Driven Home Network Services." Sensors 12, no. 7: 8447-8464.

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