TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Weighted Adaptive Opportunistic Scheduling Framework for Smartphone Sensor Data Collection in IoT |
| 영문제목(English Title) |
Weighted Adaptive Opportunistic Scheduling Framework for Smartphone Sensor Data Collection in IoT |
| 저자(Author) |
Thejaswini M
Bong Jun Choi
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| 원문수록처(Citation) |
VOL 13 NO. 12 PP. 5805 ~ 5825 (2019. 12) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Smartphones are important platforms because of their sophisticated computation, communication, and sensing capabilities, which enable a variety of applications in the Internet of Things (IoT) systems. Moreover, advancements in hardware have enabled sensors on smartphones such as environmental and chemical sensors that make sensor data collection readily accessible for a wide range of applications. However, dynamic, opportunistic, and heterogeneous mobility patterns of smartphone users that vary throughout the day, which greatly affects the efficacy of sensor data collection. Therefore, it is necessary to consider phone users mobility patterns to design data collection schedules that can reduce the loss of sensor data. In this paper, we propose a mobility-based weighted adaptive opportunistic scheduling framework that can adaptively adjust to the dynamic, opportunistic, and heterogeneous mobility patterns of smartphone users and provide prioritized scheduling based on various application scenarios, such as velocity, region of interest, and sensor type. The performance of the proposed framework is compared with other scheduling frameworks in various heterogeneous smartphone user mobility scenarios. Simulation results show that the proposed scheduling improves the transmission rate by 8 percent and can also improve the collection of higher-priority sensor data compared with other scheduling approaches.
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| 키워드(Keyword) |
heterogeneous mobility
opportunistic data collection
smartphone
weighted adaptive scheduling
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| 파일첨부 |
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