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Based On Mobility Prediction In Mobile Multicast Algorithm

Posted on:2009-04-19Degree:MasterType:Thesis
Country:ChinaCandidate:Y M XuFull Text:PDF
GTID:2208360245978594Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
Internet has gone deep into each aspect of our life, and become an indispensable part of people's daily activities, but now the adopted way of accessing Internet is fixed acess, it limits the further application of Internet access in many ways to further limit the application of the Internet. With the rapidly increasing number of wireless communications equipment, people fervently hope to acquire the needed information by these wireless communications equipment in wireless way while moving. But moving frequently of a mobile node and saving scarce bandwidth in wireless environment is a bottleneck problem in the development of mobile communication. As multicast communication can make use of link-sharing, adopting multicast transmission only needs a small amount of traffic flow to provide services to a large number of users and it will effectively save network bandwidth, reduce network communication delay and improve the efficiency of transmission.So multicasting is very useful for some new emerging Internet applications, such as distance learning, video conferencing, Internet, television, and so on. The combination of mobile IP and multicast has expanded the application of mobile IP and multicast, brought a broader space and has achieved a complementary effect. It has also brought a new challenge to these two technologies. Thus mobile multicast technology has become a hot field of mobile IP technology research.In this thesis, some existing mobile multicast protocols were analyzed and researched firstly, and four hierarchical mobile multicast protocols were researched especially. Based on these works, this paper proposed a novel hierarchical mobile multicast protocol based on mobility prediction. It uses a hierarchical mobile multicast architecture to isolate the local movement from outside, and improves the stability of the main multicast delivery tree. According to the mobile node movement velocity and related information of its neighboring subnet, it predicts the subnet of the mobile node for fatherland then forwards the multicast packet to the predicted subnet ahead in order to reduce multicast packet loss rate, shorten the multicast service disruption time and improve the performance of mobile multicast services. Simulation results demonstrate that this scheme is effective with low multicast tree rebuild frequency, little packet loss rate and short transfer delay.
Keywords/Search Tags:Mobile Multicast, Mobility Prediction, Remote Subscription, Hierarchical Structure, OMNET Simulation
PDF Full Text Request
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