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http://dx.doi.org/10.7840/kics.2013.38B.11.934

Routing Relevant Data to Group Mobile Users by Mining Social Trajectory Pattern  

Cho, Hyunjeong (KAIST 전산학과 컴퓨터 네트워크 연구실)
Park, Yourim (이화여자대학교 컴퓨터공학과 지능형 네트워크 시스템 연구실)
Lee, HyungJune (이화여자대학교 컴퓨터공학과 지능형 네트워크 시스템 연구실)
Abstract
A routing scheme for a group of mobile users for wireless ad-hoc networks is presented. The proposed scheme mines social activity patterns from wireless traces, and exploits social user group for efficient data routing among users based on a data publish approach. Simulation results based on real-world wireless traces show that our routing scheme reduces routing cost for a large mobile user group with a factor of 1.8 compared to a baseline counterpart.
Keywords
Social Trajectory Pattern Mining; Data Publish; Group User Routing;
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