近年來，無線感測器網路(Wireless sensor network)已
被廣泛地運用於醫學、工業、娛樂、保全、軍事等領域。不
同規格的平台也不斷地推陳出新，以用來符合各種應用的需
求。然而，卻很少使用者探討這些平台的性能，是否與其本
身宣稱的相同，以致於可能降低工作效率或者耗費多餘成本
而不自知，而目前的研究中也缺乏對平台進行評估測試的方
法與環境。
針對這些問題，本論文中首先簡述數種無線感測器平台
常見的公制(metrics)類型，並針對其中影響資料精確度的
量化準確性及取樣週期提出適當的測量方法，即利用直方圖
法與鋸齒波形取樣計算出其數據與時間精確度。由實驗結果
可看出無線感測器平台在系統層次的確會出現效能的減損。
另外對於特定的應用所重視的各種公制，將量測到的效能做
幾何平均數的計算，可做為平台整體的合適度評估。
至於無線感測環境的仿擬方面，基於取樣定理與雲規線
(spline)內插法來實現輸入的類比訊號還原，能夠有效地節
省硬體的儲存空間。將還原出的訊號予以數位化後，可提供
給後端的數模轉換器設備運作。操作的部份主要是利用
National Instrument Labview 軟體，完成所需的訊號處理、
分析、儀器控制和仿擬系統的人機介面。
我們期望這些評估與仿擬的方法，能幫助使用者更有效
地挑選或者測試無線感測器平台，從而督促研發者致力於更
謹慎的開發設計，推動整體無線感測器網路與平台技術的提
昇與進步。

Wireless sensor network (WSN) is a popular research topic in manifold applications including
medical care, industrial control, entertainment, security, military defense, and other possible
fields. Developers therefore ceaselessly brings forth different sensor platforms to deal with
these applications. However, little eyesight is focused on the platform’s actual performance.
Since few researches and methods nowadays are able to evaluate WSN platforms, users tend
to roughly guess the overall performance through looking up the data sheets or speculations
of the composed devices. Oversights within these processes might consume redundant cost or
decrease the work efficiency. Besides methodologies for evaluation, lacking of WSN emulation
environment and benchmarking suites are also critical issues for platform selection.
In this thesis, we propose practical methodologies to quantitate the metrics that affect
WSN system’s data quality: conversion accuracy and timing precision. The measured results
show that these deviations are larger than the desk study value. Besides, we address that
for a certain application, the geometric mean of corresponding metrics can be utilized as its
overall fitness.
Regarding the WSN system emulation, environmental signal reconstructions are fulfilled
according to sampling theory and spline interpolation. These signals are digitized and stored
afterward to support devices for data playback operation. Also, data processing, instrument
control, and emulation graphical user interface are handled by National Instruments Lab-
VIEW software.By these emulation and evaluation methods, we hope users can make efficient platform selections
and testings. Moreover, pressing WSN developers to make more efforts in systematic
considerations and design platforms more authentically. Consequently, making contributions
to the progress and improvement of the overall wireless sensor network technology field.

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