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  • 學位論文

使用多區段檢查結構應用於無線感測器網路之分散式決策融合法則

Distributed Decision Fusion Rule using Multi-level Censoring Scheme in Wireless Sensor Network

指導教授 : 鄭文凱

摘要


現今,無線感測器網路被廣泛應用在各式各樣的環境偵測上,由於感測器的電力來源是電池,所以電池的壽命線制了感測器的工作時間,而感測器在做無線傳輸時,耗費的電力最多,因此如何節省耗電量,是一項值得探討的議題。 本文中將提到使用二進制應用於無線感測器網路中,並設計了兩種機制以降低其錯誤率以及節省能源消耗。而在此設計出高能源效率的演算法來將降低錯誤率以及能源消耗,其機制是將感測器設計為,當觀測值可信賴時才傳送資訊給融合中心;反之,則不送任何資訊給融合中心,這樣不僅能夠降低錯誤率,還能節省能源。 另一機制為將所收到的觀測值分段判斷並且傳送判斷完之資訊給融合中心,與先前之機制有所不同在於感測器端所有判斷的資訊都會傳送給融合中心,經由模擬以及理論驗證此機制亦可降低錯誤率並且還能達到節省能源消耗。

並列摘要


Nowadays, the battery-powered wireless sensor network(WSN) is an emerging technology with a wide variety of applications. The lifetime of a sensor is limited by the power constraint. One of the major energy consumptions in WSN is spent on the data communication. Hence, the issue of power saving in WSN should be probed into. In this study, binary codes are used individually to design a mechanism to save power in WSN. A highly energy-efficient algorithm to save the energy consumption on the wireless transmission has been proposed. Each sensor transmits data to the fusion center only when the reliability of its observation is beyond a threshold, or the sensor remains in a latent status defined "censoring", and hence the goal of power saving is achieved. Furthermore, a mechanism with a multi-level censoring rule on the reliability of the observation made by a sensor is also examined. The SNR of the transmitted signal to the FC is adjusted according to the reliability. The goal of power saving is achieved while the proposed multi-level censoring mechanism outperforms the conventional WSN system.

參考文獻


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