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  • 學位論文

使用二進制及四進制碼應用於無線感測器網路之分散式高能源效率決策融合設計

Design of Distributed Energy-Efficient Decision Fusion Using Binary and Quaternary Codes in Wireless Sensor Network

指導教授 : 鄭文凱
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摘要


以電池為電力來源的無線感測器網路如今被廣泛的應用在各式各樣的環境偵測上,而感測器的電池壽命限制了感測器的工作時間,其中感測器在做無線傳輸時,耗費的電力最多,因此在本論文中我們提出一些方法有效的改善無線傳輸上的能源消耗。 首先我們設計一種機制來節省能源之消耗,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,這樣不僅能夠節省能源消耗,還能降低錯誤率。我們假設無線感測網路是在二維及四維的現象中分別使用二進制及四進制編碼,並設計出高能源效率的演算法來節省花費在無線傳輸上的能源消耗,且在四進制碼中利用不同的調變方式來進行訊號的傳送,也就是說在相同的參數下改變訊號來做傳送,而訊號是由兩個bits改變三個bits的訊號和改變四個bits訊號。最後求得二進制和四進制碼的理論值並經由驗證得知與模擬結果相符。

並列摘要


Recently the battery-powered wireless sensor network (WSN) technology has been applied on various environment detections. The capacity of the battery, however, limits the working time of the sensor, especially when most of the power is spent on the wireless transmission. In this thesis, methodologies have been proposed to improve the efficiency of power saving of the wireless transmission. First we develop a mechanism to improve the efficiency of power saving .Each sensor transmits data to the fusion center (FC) only when its observation is reliable, or the sensor remains in a latent status which is defined as ”mute”. The efficiency of power saving is improved and the better error performance is also achieved in the proposed mechanism. Both binary and quaternary hypotheses on the phenomenon of the environment in WSN have been assumed, and binary and quaternary codes are therefore applied respectively. Simulation results indicate that the proposed mechanism based on binary and quaternary coding strategies fits the theoretical values.

參考文獻


[1] S. Appadwedula, Venugopal V. Veeravalli, and Douglas L. Jones, “Energy-efficient detection in sensor network,” IEEE Journal on Selected Areas in Communications, vol. 23, no. 4, pp. 693-702, APRIL 2005.
[2] Tsang-Yi Wang, Yunghsiang S. Han, Pramod K. Varsheny, and Po-Ning Chen, “Distributed fault-tolerant classification in wireless sensor networks,” IEEE Journal on Selected Areas in Communications, vol. 23, no. 4, pp. 724-734, APRIL 2005.
[3] V. Raghunathan, C. Schurgers, S. Park, and M. B. Srivastava, “Energy-aware wire-less microsensor networks,” IEEE Signal Processing Magazine, pp. 40-50, March 2002.
[4] ──, “Strategies for distributed decision making,” IEEE Trans. Aerosp. Electron. Syst., pp. 527-538, August 1981.
[5] R. R. Tenney and N. R. Sandell Jr., “Detection with distributed sensors,” IEEE trans. Aerosp. Electron. Syst., pp. 501-510, July 1981.

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