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Significant Motion-Based Adaptive Sampling Module for Mobile Sensing Framework
( Muhammad Fiqri Muthohar ),( I Gde Dharma Nugraha ),( Deokjai Choi ) 한국정보처리학회 2018 Journal of information processing systems Vol.14 No.4
Many mobile sensing frameworks have been developed to help researcher doing their mobile sensing research. However, energy consumption is still an issue in the mobile sensing research, and the existing frameworks do not provide enough solution for solving the issue. We have surveyed several mobile sensing frameworks and carefully chose one framework to improve. We have designed an adaptive sampling module for a mobile sensing framework to help solve the energy consumption issue. However, in this study, we limit our design to an adaptive sampling module for the location and motion sensors. In our adaptive sampling module, we utilize the significant motion sensor to help the adaptive sampling. We experimented with two sampling strategies that utilized the significant motion sensor to achieve low-power consumption during the continuous sampling. The first strategy is to utilize the sensor naively only while the second one is to add the duty cycle to the naive approach. We show that both strategies achieve low energy consumption, but the one that is combined with the duty cycle achieves better result.
Developing and Evaluating Mobile Sensing for Smart Home Control
Rischan Mafrur,Priagung Khusumanegara,Gi Hyun Bang,Do Kyeong Lee,I Gde Dharma Nugraha,Deokjai Choi 보안공학연구지원센터 2015 International Journal of Smart Home Vol.9 No.3
Many of researches in controlling smart home system have been proposed. Most of previous approaches in controlling smart home system requires interventions and commands from user. This paper propose a system about smart home based on mobile sensing that does not requires interventions and commands from the user. Mobile Sensing is used to records daily routine activities of the user. Then the system automatically gives a response to user based on his/her daily routine activities. We have implemented our approach to demonstrate the feasibility and effectiveness of using mobile sensing for controlling smart home system. Furthermore, we evaluate our approach and present the details in this paper.