Title page for etd-1015116-181659


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URN etd-1015116-181659
Author Pei-Hsun Chan
Author's Email Address No Public.
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Department Electrical Engineering
Year 2016
Semester 1
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title A Dynamic Slot Allocation Scheme Using Average Backoff Times and Sleeping Time in 802.11ah Networks
Date of Defense 2016-10-25
Page Count 73
Keyword
  • Backoff Time
  • Machine to Machine Communication
  • 802.11ah
  • Slot Allocation
  • Sleeping Time
  • Abstract In this thesis, we propose a Dynamic Slot Allocation Scheme (DSAS) based on 802.11ah in Machine to Machine (M2M) environments. DSAS can effectively use the wireless resources to reduce the contention problems in M2M. In DSAS, we design two sets of high and low thresholds, respectively, to determine the levels (High, Average, Low) of machine sleeping time and the levels (High, Average, Low) of slot contention, respectively. The innovation of this thesis is that DSAS can allocate shorter sleeping-time machines to the slots that are more congestive. Similarly, the longer sleeping-time machines are allocated to the slots that are less congestive. In addition, to avoid unnecessary slot reallocations, the machines will use their original slots, when the contention level of slots is between high and low thresholds or the sleeping level of machines is between high and low thresholds. In order to analyze the performance of DSAS, we simulate it by modifying NS-3 Wi-Fi modules. In the simulation, we gradually increase the number of machines and randomly assigned the sleeping-time of machines. Simulation results, when compared to IEEE 802.11ah, show that using the proposed DSAS can reduce the average backoff time, shorten the average packet delay, and increase the overall system throughput.
    Advisory Committee
  • Chung-Nan Lee - chair
  • Zi-Tsan Chou - co-chair
  • Tsung-Chuan Huang - co-chair
  • Tsang-Ling Sheu - advisor
  • Files
  • etd-1015116-181659.pdf
  • Indicate in-campus at 3 year and off-campus access at 5 year.
    Date of Submission 2016-11-15

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