於無線微型感測網路減少重複資料之能源節省協定

Abstract

在無線微型感測網路中，無線微型感測裝置為一資源有限的小型裝置，並且只擁有有限的能源。直接傳輸原始的資料會消耗大量的能源，因此常見的資料減少協定利用執行資料聚集程式或減少重複的資料來降低網路流量以達到節省能源的目的。然而，這些降低資料量的協定仍然有著需要大量運算、資料失真、應用程式的限制等等的缺點。在此論文中，我們提出一個適用於無線微型感測網路的減少重複資料協定，稱為REAP，來降低網路中的重複資料、節省能源，並且減緩上述的缺點。REAP有效地利用無線微型感測網路的特徵，空間與時間的關聯性，同時不會造成資料的失真。另外，在所觀測的環境有所大變動時，亦能保持極小的能源消耗。由我們所做的實驗顯示，REAP在一般的環境觀測下，能節省50%到60%的能源消耗。

In wireless sensor networks (WSNs), sensor nodes are resource-constrained devices with limited energy. Transmitting raw data between sensor nodes consumes high energy, and therefore conventional data-efficient protocols reduce network traffic by performing intra-network aggregation functions or eliminating redundant data. However, some drawbacks still exist in these protocols, such as heavy computation overhead, data distortion, and application dependency. In this paper, we present a redundancy-aware protocol (REAP) for WANs to reduce redundant data, save energy savings, and relieve the drawbacks. REAP effectively utilizes the WSN characteristics of spatial and temporal correlations, and at the same time will not have data distortion. REAP can easily adapt to the change of monitored environment, while maintaining minimal energy cost. Simulation results showed that REAP can achieve 50% ~ 60% energy savings in monitoring physical phenomenon.