Research And Implementation Of Evaluation Mechanism-based Route Optimization In HMIPv6

With the development of computer network and communication technology, mobility support in networks becomes one of the most important technologies in Next Generation Network. As the extension of traditional IPv6, mobile IPv6 provides a solution for mobile host's handoff between different networks. In order to improve mobility support in networks, Internet Engineering Task Force (IETF) proposed Hierarchical Mobile IPv6 (HMIPv6). HMIPv6 manages the communication between mobile nodes and correspondent nodes by introducing a mobility anchor point.Based on the thoroughly study of route in HMIPv6, aiming at problems which need to be considered in route optimization such as transmission delay, network overhead, an evaluation mechanism-based route optimization in HMIPv6 is proposed. To achieve route optimization, a mobile node needs to send a binding update message with regional care-of address to its correspondent node. A mobile node can get hop counts by reading the head of IPv6 message, and get average packet receiving rate by statistical method. At last, the scheme calculates the network costs of route optimization, non-route optimization and the evaluation function value with these parameters. The evaluation function value in the scheme is the ratio of the network overhead before route optimization to that after route optimization. Then the scheme makes a decision on whether to optimize route or not. Due to the introduction of evaluation mechanism, the route optimization scheme has adaptability, and decreases network overhead efficiently.In this thesis, some technologies about HMIPv6 and route are introduced first. Then an evaluation mechanism-based route optimization in HMIPv6 is proposed. By installing and modifying a NS2 attachment packet, FHMIP, basic route optimization in HMIPv6, obtaining hop counts, statistic of packet receiving rate and calculating of evaluation function are accomplished. At last by analyzing the simulation result and experimental data, we validate that the proposed mechanism is able to decrease network overhead effectively.