無線感測器網路可以用在監控環境狀態,並且收集與儲存得自環境的資料。然而,無線感測器網路在電力資源上是有限的。因此如何節約能源,對無線感測器網路而言,是一項重要的議題。為了達到節約能源,使用能源高效率的資料儲存機制是必須的。 在先前一項名為Tug of War 的機制中,它透過佈置適當數目的負責儲存資料的結點來達到節約能源的目標。這個數目是以四為底數的冪次數。然而,我們認為Tug of War 選擇儲存節點數目的方法不夠精確,因此最佳的節點數目無法被選擇到。我們進一步地研究節點數目與能源效能的關係,以企圖達到最佳化效能的目標。 我們提出了兩個資料儲存的系統「冪次系統」和「線次系統」,分別是採取以二為底數的冪次數和兩倍的線性增加。利用了較精準的節點數目選擇的方式,「冪次系統」和「線次系統」比Tug of War 選擇到更好的資料節點的數目,而更能節約能源。透過模擬實驗可以知道,我們所提出來的「冪次系統」和「線次系統」的確能展現出更佳的運作效能。
A wireless sensor network can monitor a physical environment, collect raw data form the environment and store them. However, a wireless sensor network has a major resource constraint on limited power. Therefore, it is an important issue that how to save energy. To economize energy, it is necessary to employe a more energy e cient data storage scheme in wireless network. In the former research, Tug-of-war, energy conservation is achieved through deploying a appropriate number of nodes in charge of storage according to event and query occurrence requencies. The number is an exponential number with base 4. Nevertheless, we think the selecting scheme of Tug-of-War is not accurate so that the most approprate number may not be selected. We want to study relationship between the energy e ciency and storage nodes to optimize the performance. We proposes two data storage system, "Geometric System" and "Linear System". We apply the 2^r and 2I replication schemes into Geometric System and Linear System respectively. The image number of Geometric System increases exponentially with base 2. The image number of Linear System increases linearly. Geometric System and Linear System should deploy images with more appropriate number than ToW to save energy. Through simulation experiments, Geometric System and Linear System indeed demonstrate better performance.