有關無線感測網路在救災資訊系統的應用上，群集簇頭選擇與群集方法一直是個重要的課題。本文首先簡述無線感測網路群集方法在救災資訊系統上設計之考量，並介紹經典的低能量階層式自適應性群集演算法(LEACH)與其相關的改良方法。之後針對大規模的救災感測網路系統，本文以LEACH為基礎，擴大網路範圍來進行系統模擬與效能分析。相信本研究所發展之模擬結果，有助於未來在進行大規模群集演算法設計之參考，進而促成多樣性救災資訊系統之開發，提供使用者更安全的生活服務。

The cluster head selection and clustering methods play a key role in practical applications of wireless sensor networks (WSNs) to disaster information systems. This paper introduces the considerations of WSN clustering methods for disaster information systems, the low energy adaptive clustering hierarchy (LEACH) algorithm, and improved clustering methods. Then, based on the LEACH, the system simulation and performance analysis have been implemented for large-scale environments. It is believed that the simulation results presented in this paper will benefit the future design of clustering methods.