IETF(Internet Engineering Task Force)制訂出Hierarchical Mobile IPv6 (HMIPv6)管理機制，透過設置行動錨點(Mobility Anchor Point)裝置，達到減少移動節點在其涵蓋範圍內移動時所需與本地端代理人(Home Agent)及對應節點(Correspond Node)進行繫結更新(Binding Update)次數之目的。 然而，根據HMIPv6的機制，位在高層的行動錨點能較有效降低繫結更新頻率，所以其服務量往往會較高，因此會是整體網路效率的瓶頸問題所在。因為行動錨點本身的服務頻寬有限，再加上若身兼閘道(Gateway) 之角色，一旦服務量超過負荷，便容易導致整體網路的癱瘓可能性發生。 本論文基於移動節點之個別特性，提出一個根據其移動速度與移動間通話服務量來選擇合適的行動錨點之機制，除了能有效率的分配使用行動錨點裝置，也將行動錨點的負載平衡機制加入，避免行動錨點因負載過量而導致癱瘓之情況發生。 從實驗結果證明，所提出之可調式行動錨點選擇機制即使在移動節點數目多時，除了亦能有效的降低繫結更新次數，並且每層的行動錨點裝置能有效達到負載平衡。與其他之行動錨點選擇機制比較起來，本研究具有較優異的表現。 Hierarchical Mobile IPv6 Management (HMIPv6) which is drawn up by the IETF (Internet Engineering Task Force) utilizes the Mobile Anchor Point (MAP) to reduce the considerable number of binding update messages among the mobile node, correspondent node, and the mobile node''s home agent. Accrdoing to the HMIPv6 mechanism, the MAP of higher layer can efficiently reduce the frequency of binding update messages; it will have higher loading of service and become the bottleneck of the whole network. Because the MAP’s bandwidth of services is finite and if MAP serves as the gateway at the same time, the whole network will be crashed due to overloading. The thesis proposes a MAP selection mechanism that takes the mobile node''s particular characteristics which include the mobility velocity and quantity of communication services into consideration, the research can manage MAPs efficiently. Besides, the research also designs the MAP Load Balance mechanism to avoid the network crash due to the overloaded MAP. The experimental results show that proposed adaptive MAP selection mechanism even in a great deal of mobile nodes scenario also can reduce the number of binding update messages efficiently. Besides, the proposed method comparing with other common ones is still superior.
