Named Data Networking (NDN) is a promising architecture for the future Internet and it is mainly designed for efficient content delivery and retrieval. However, producer mobility support is one of the challenging problems of NDN. This paper proposes a scheme which aims to optimize the tunneling-based producer mobility solution in NDN. It does not require NDN routers to change their routing tables (Forwarding Information Base) after a producer moves. Instead, the Interest packet can be sent from a consumer to the moved producer using the tunnel. The piggybacked Data packet which is sent back to the consumer will trigger the consumer to send the following Interest packets through the optimized path to the producer. Moreover, a naming scheme is proposed so that the NDN caching function can be fully utilized. An analysis is carried out to evaluate the performance of the proposal. The results indicate that the proposed scheme reduces the network cost compared to related works and supports route optimization for enhanced producer mobility support in NDN.

In this paper, an information distribution model based on human's behavior is proposed. We also propose dynamic parameters to make the model more practical for real life social network. Subsequently, the simulations are conducted based on the small-world network and its characteristics, and the parameters in the model are analyzed to increase efficiently the power of information distribution. Our study and simulation results show that the proposed model can be used to analyze and predict the effectiveness of information distribution. Moreover, the study also shows how to use the model parameters to increase power of the distribution.

This paper propeses a new motion compensation (MC) technique which reduces blurring called drift in moving pictures down-scaled with layered coding system. Encoder of the system compresses large amounts of digital video data in the same way of MPEG (Moving Picture Experts Group) algorithm. Decoder, on the other hand, expands a part of the compressed data and reconstructs down scaled pictures. The purpose of this paper is to reduce blurring which is observed in the reconstructed pictures. In this paper, cause of the blurring is analyzed and the method is introduced as a solution to the problem. The new method is implemented by a little modification of motion compensation (MC) of the decoder, namely increasing the number of tap of interpolation fillters of the MC. Compressing moving pictures, its effectiveness is also confirmed by means of not only subjective test but also signal to noise ratio.