使用多維訊源編碼應用於無線感測器網路非對稱環境中之分散式決策融合法則

Distributed Decision Fusion Rule using M-ary Source Coding Scheme on Unsymmetrical Hypothesis in Wireless Sensor Network

徐勝然(Sheng-ran Syu)

指導教授 ： 鄭文凱

國立暨南國際大學/科技學院/資訊工程學系/碩士(2015年)

https://doi.org/10.6837/NCNU.2015.00161

摘要

無線感測器所構成的無線感測器網路，如今被廣泛應用在各種環境觀測上，用途也相當廣泛，例如軍事、生活、商業活動等等，而無線感測器在做無線傳輸時，能源消耗是以電池做為能量來源，因此電池限制了感測器的工作時間以及效率，所以如何有效控管消耗的電力，延長其有效時數，是一項值得探討的議題。本研究在此設計管理出提高能源效率的演算法來提升正確率。
在傳統非對稱環境中，僅以二元的作法來記錄所觀測之目標，本論文將使用多維訊源編碼，建立於非對稱分散式環境中，將感測器所觀測到之訊號編碼分區，從原本的二元拓展至多元，再根據融合中心的決策法則改善傳統方法的正確率。經由實驗和理論證實此機制相較於傳統，能改善正確率以及達到節省能源的目標。
關鍵詞 : 非對稱分散式感測器網路; 決策融合; 多維訊源編碼機制

關鍵字

非對稱分散式感測器網路 ； 決策融合 ； 多維訊源編碼機制

並列摘要

Wireless Sensor Network, WSN, composed of wireless sensors is widely used in the application of environment detection such as military, life, or business activities. The wireless sensor is mainly battery-powered and hence power consumption is one of the major issues in WSN. This study focuses on the design of an energy-efficient algorithm whose performance is better than that of the conventional method. In the classical unsymmetrical environment, only binary algorithm is used to record the observation of a sensor. In this thesis, M-ary source coding scheme is adopted on unsymmetrical hypothesis, i.e., the decision on the observation by a sensor is extended from binary algorithm to M-ary algorithm. The results show that the goal of better rate and lower energy consumption compared with that of the conventional algorithm is achieved via the porposed M-ary source coding scheme.
Key words: unsymmetrical distributed sensor network, decision fusion, M-ary source coding

並列關鍵字

unsymmetrical distributed sensor network ； decision fusion ； M-ary Source Coding

參考文獻

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