隨著多媒體網路迅速的發展，國際組織OIPF(Open IPTV Forum)正致力於推動IPTV之標準化，可見IPTV已成為多媒體網路主要的發展趨勢。本論文配合多媒體網路發展趨勢與實際需求，整合多媒體編解碼、串流傳輸、數位加解密與認證以及可用頻寬估測等多項關鍵技術，實際開發完整且具安全性之即時媒體中心系統，並建立整體IPTV內容與服務安全保護架構，且希望對於網路頻寬能力不同的終端用戶，能依照其頻寬能力而傳送適當位元編碼率的多媒體影音內容，讓使用者能夠收看本身網路能力所能夠收看的多媒體節目之最高品質，並讓使用者在收播的過程中能夠更順暢，提升整體用戶收視之品質。為了達到此需求，本論文提出「階層式」可用頻寬估測(Hierarchical Available Bandwidth Estimation, HABE)技術，用於探測終端用戶之頻寬能力，希望能快速收斂頻寬估測範圍，並且提升估測速度及其精確度。本論文提出之「階層式」可用頻寬估測採用速率模型(PRM)，且一個探測封包序列包含多種探測速率，並以「階層式」的方式進行探測，以減少頻寬收斂疊代的次數。最後我們將會透過NS2之網路模擬平台進行驗證，實驗結果顯示，本論文提出之「階層式」可用頻寬估測(Hierarchical Available Bandwidth Estimation, HABE)技術在探測速度與精確度上皆有不錯的表現。

With the rapid evolution of multimedia communications, the Open IPTV Forum, OIPF, is aiming to propose the IPTV system standard, which proclaims the potential of IPTV-related technologies. It also shows that IPTV system applications would dominate Internet multimedia. In this thesis, a complete and secured IPTV system, which comprises media codec systems, streaming control, encryption/decryption control and available bandwidth estimation units, has been developed to meet the application requirement of Internet multimedia. We proposed to estimate the bandwidth capacity of end users such that the streaming server can transmit media streams with an acceptable bit-rate to end users, for which the highest quality media can be perceived. Under this condition, the end users can receive stable broadcasting, in which the overall user ratings can be improved. To achieve this target, we proposed to perform "hierarchical" available bandwidth estimation (HABE) to estimate end-user's bandwidth capacity, in which the HABE process can quickly converge to actual solutions. In other words, it can estimate the actual bandwidth in a shorter time period. The HABE is carried out by adopting a Probe Rate Model(PRM), in which a probing packet train contains variety probing rate, and we adopted “hierarchical” probing approach to reduce the estimation iterations. Experiments are carried out based on the NS2 simulation platform and results showed that our proposed method can yield more accurate bandwidth estimation results while requiring a shorter period of time, as compared to current bandwidth estimation methods.

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