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A Novel Shadow Clustering Mechanism based on Gauss-Markov Mobility Model in Nested Heterogeneous Networks  

Park, Je-Man (한양대학교 네트워크컴퓨팅연구실)
Kim, Won-Tae (한국전자통신연구원)
Park, Yong-Jin (한양대학교 네트워크컴퓨팅연구실)
Abstract
In this paper, we propose a novel shadow clustering mechanism including a mobility estimation algorithm based on Gauss-Markov mobility model which analyses patterns of moving direction and speed of a mobile terminal respectively and a selection algorithm of the most suitable network for the requirements of mobile terminals. The proposed mechanism makes much less shadow cluster area than that of the legacy methods, and reduces unnecessary resource reservation. It is compared the proposed algorithm with traditional methods under various scenarios.
Keywords
Shadow Clustering; Gauss-Markov;
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