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研究生: 陳代昌
Dai-Chang Chen
論文名稱: 動態功率調整於低功耗藍芽推播系統
Online Power Management with Quality-of-Service Consideration for Bluetooth Low Energy Beacons
指導教授: 陳雅淑
Ya-Shu Chen
口試委員: 修丕承
Pi-Cheng Hsiu
吳晉賢
Chin-Hsien Wu
謝仁偉
Jen-Wei Hsieh
學位類別: 碩士
Master
系所名稱: 電資學院 - 電機工程系
Department of Electrical Engineering
論文出版年: 2018
畢業學年度: 106
語文別: 英文
論文頁數: 38
中文關鍵詞: 電源管理服務品質低功耗藍芽推播
外文關鍵詞: Power Management, Quality-of-Service, Bluetooth Low Energy Beacon
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  • 針對電池驅動的嵌入式裝置,為了在能耗和通信延遲之間實現更好的權衡,低
    功耗藍芽被廣泛應用於嵌入式裝置的無線傳輸。低功耗藍芽提供了用於廣播區間參
    數,可讓使用者針對系統自行設定該參數,進而延長休眠時間以降低能耗。本論文
    針對多應用程式的低功耗廣播節點,首先提供了能符合應用程式延遲限制的廣播區
    間初始化演算法;並提供了執行時期動態調變廣播區間參數以最小化因封包衝突造
    成的重新廣播能耗;且發表了能針對掃描裝置動態變化的截止期限排程器。通過大
    量實驗評估所提出的方法,與固定的廣播區間參數相比,實驗結果顯示所提出的方
    法可節省近99%的能耗。


    Bluetooth Low Energy (BLE) is a wireless protocol that provides low power
    communication for battery-driven embedded devices. To achieve the better
    tradeoff between energy consumption and communication latency, an advertiser
    interval parameter for extending the sleep time of BLE beacon is included
    in the protocol. This paper presents a power management mechanism including
    the advertising interval initialization for meeting the latency constraint of
    broadcasting applications, the advertising interval adaptation for minimizing
    the resubmission overhead from the run-time collision, and the scanner-aware
    packet scheduler for providing the better quality of service of applications with
    multiple rates. The proposed methodology was evaluated through extensive
    experiments and the results revealed that the proposed algorithms saved the
    energy consumption up to 99% compared with a simple pessimistic setting.

    1 Introduction 2 Background and Related Work 2.1 Scannable Advertising 2.2 Collision Issues 2.3 Related Work 3 System Model 4 Online Power Management for Latency-sensitive Bluetooth Low Energy Beacons 4.1 Energy Efficiency Advertising Interval Initialization 4.2 Collision-aware Advertising Interval Adaptation 4.3 Scanner-aware Run-time Scheduler 5 Performance Evaluation 5.1 Experimental Setup 5.2 Effect of Random Delay 5.3 Effect of Run-time Scanner Variation 6 Conclusion References

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