Logical Correlation-Based Sleep Scheduling for WSNs in Ambient-Assisted Homes

Wei Liu, Yozo Shoji, Ryoichi Shinkuma

研究成果: Article査読

12 被引用数 (Scopus)

抄録

This paper proposes a logical correlation-based sleep scheduling mechanism (LCSSM) to implement energy-efficient wireless sensor networks (WSNs) in ambient-assisted homes (AAHs). LCSSM analyzes sensory data generated by different human behaviors to detect the logical correlations between sensor nodes in an AAH. By utilizing the particular logical correlations of an AAH to predict its usage status, LCSSM deactivates sensor nodes accordingly to save energy when they are not expected to sense any valuable event. Evaluation results based on real life-logs have validated that LCSSM not only reduces the energy consumption of WSNs significantly, but also retains their quality of sensing successfully, e.g., with a moderate assumption on the duty cycling ratio and hardware configuration of sensor nodes, LCSSM successfully senses 98.7% valuable events with an average of 37.0% usual energy consumption, and extends the life time of WSNs by 63.4%.

本文言語English
論文番号7886275
ページ(範囲)3207-3218
ページ数12
ジャーナルIEEE Sensors Journal
17
10
DOI
出版ステータスPublished - 2017 5月 15
外部発表はい

ASJC Scopus subject areas

  • 器械工学
  • 電子工学および電気工学

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