ICFICE 2017
Current Result Document :
ÇѱÛÁ¦¸ñ(Korean Title) |
Context-Aware Connectivity Analysis for Predictability in Delay Tolerant Network |
¿µ¹®Á¦¸ñ(English Title) |
Context-Aware Connectivity Analysis for Predictability in Delay Tolerant Network |
ÀúÀÚ(Author) |
Yoon-Hyung Dho
Rae-Jin Jeong
Kangwhan Lee
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¿ø¹®¼ö·Ïó(Citation) |
VOL 09 NO. 01 PP. 0199 ~ 0201 (2017. 06) |
Çѱ۳»¿ë (Korean Abstract) |
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¿µ¹®³»¿ë (English Abstract) |
In this paper, we proposes and efficient prediction-based context-awareness algorithm that analyzes connectivity by predicting the context data of a cluster, such as velocity and direction. In existing delay tolerant networks (DTNs). Most of the previous studies assumed that mobility of a noed is independent from mobility of other nodes and looked at only the pairwise node relations to decide routing. In contrast, in this paper we analyze the temporal correlation for efficient routing. We introduce a new metric called prediction-based context-awareness matrix (PCM) algorithm that analyzes connectivity by predicting the context data of a cluster. Extensive simulations based on real and synthetic DTN traces show that the modified algorithms perform better than the original one¡¯s PROPHET algorithm
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Å°¿öµå(Keyword) |
Delay Tolerant Network
Context-Aware
Prediction
Mobility
Connectivity
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ÆÄÀÏ÷ºÎ |
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