論文提要內容：無線感測網路是近期資訊發展及微電腦科技下的衍 生品，很多地方都可以看見它的影子，其應用的範圍很多，像人員的定位、氣象、土石流、海浪波幅、溫度、溼度及雨量上的監測等例子比比皆是，台灣山坡地過度開發、人口密集，土石流災害儼然成為台灣地區每年颱風豪雨季節民眾最關心的話題。另一面，IEEE 802.15.4低速率無線個人區域網路發展已漸趨成熟，傳輸特性有低消耗功率、傳輸距離短，包含大氣、水文、山林、河流、保育動物研究等領域環境都變化多端，非常適合建立感測資料，而且研究結果影響宏大。而在土石流偵測方面，由於主要是依據地聲以及土壤濕度來做判定，在下雨天時比較有可能會發生，故在絕大部分時間偵測元件是屬於非常低的資料流量，只有在雨天時才必須要密集的去做偵測並回傳資料。因此，本篇論文主要是針對架構於IEEE 802.15.4 LR-WPAN通訊協定Beacon Order Adaptation Algorithm（BOAA）進行更深入的探討，以達到更好的延長偵測元件電池使用壽命的效果，並節省偵測元件重新部署之人力與經費。最後並把新舊BOAA的功耗比較與分析，以求得最佳的省電方式。 Wireless sensor network is getting popular by information technology and micro-computer development recent . Taiwan is a typical island country in the west Pacific Ocean，and there is much rain during the typhoon season from June to September. In Taiwan，the mountainside is developed overly and the population is crowded，hence the mudflows and landslides is major thing which people care about every year. On the other hand， the development of the Low Date Rate Wireless Personal Area Network（LR-WPAN）is mature gradually and LR-WPAN has the characteristic of low date rate、low power consumption、short transmission distance and low volume…etc. The application of LR-WPAN includes the detection of weather、hydrology、river、calamity and wildlife…etc. The date which collected by the sensor is very useful for an academic research. And for the calamity detection of the mudflows and landslides，it is according to earthquake sounds and the humidity of the soil, and the calamity is usually occur in rainy weather，so the detection sensors is in very low rate state in most of the time and need to transmit data frequently just in the rainy weather. Hence，in this paper We are aimed at enhanced IEEE 802.15.4 Beacon Order Adaptation Algorithm (BOAA) protocol to achieve more power saving ,then compare and analysis the old and the new BOAA protocol.
