DocumentCode :
2485712
Title :
A rough set performance evaluation approach for multicast routing strategies in delay and disruption tolerant networks
Author :
Zhang, Long ; Zhou, Xianwei
Author_Institution :
Dept. of Commun. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
fYear :
2009
fDate :
14-17 Oct. 2009
Firstpage :
280
Lastpage :
284
Abstract :
Performance evaluation for multicast routing strategies is still an unexplored field in delay and disruption tolerant networks (DTNs) and faces great challenges. In this paper, we proposed a rough set approach to performance evaluation for multicast routing strategies in DTNs. The proposed approach constructs an evaluation index system for DTN multicast routing based on an analytic hierarchy process. Rough set theory is applied to explore the evaluation index data of multicast routing. Furthermore, the concept of information entropy is introduced to determine the weighting coefficients of evaluation indexes and the subjectivity that influences the determination of weighting coefficients is effectively reduced. Experimental results show that the proposed approach is feasible and effective.
Keywords :
entropy; multicast communication; performance evaluation; rough set theory; telecommunication network routing; analytic hierarchy process; delay tolerant networks; disruption tolerant networks; evaluation index system; information entropy; multicast routing strategies; rough set performance evaluation; Context awareness; Delay; Disruption tolerant networking; Electronic mail; Error analysis; Information entropy; Routing; Set theory; Spread spectrum communication; Wireless networks; Delay Tolerant Networks; Disruption Tolerant Networks; Information Entropy; Multicast Routing; Performance Evaluation; Rough Set;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Future Information Networks, 2009. ICFIN 2009. First International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5158-6
Electronic_ISBN :
978-1-4244-5159-3
Type :
conf
DOI :
10.1109/ICFIN.2009.5339602
Filename :
5339602
Link To Document :
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