How the mobile Internet accommodates a huge number of IoT devices is an important research challenge since their number grows to several billions. An important observation about IoT device communications is that IoT devices have different characteristics in mobility from traditional mobile devices such as cellular phones. Strict mobility management scheme and session mobility provided by handover functions are not required for the IoT device mobility management. In this paper, we focus on IoT communication features, and propose a routing-based mobility architecture for them. Our routing architecture uses the Bloom Filter as a data structure to store routing information. We clarify the effectiveness of our routing architecture in IoT environments.

Social network analysis has been actively pursued to provide an understanding of complex social phenomena. However, graphs used for social network analyses generally contain several errors in their nodes, links, and link weights. In recent years, huge amount of data representing human-to-human interactions are available, and their availability enables us to obtain various types of real social networks. In this paper, we investigate the effect of link weight quantization on the centrality measures in five types of real social networks. Consequently, we show that graphs with high skewness in their degree distribution and/or with high correlation between node degrees and link weights are robust against link weight quantization.