The Community for Technology Leaders
RSS Icon
Subscribe
Clearwater Beach, FL, USA USA
Oct. 22, 2012 to Oct. 25, 2012
ISBN: 978-1-4673-1565-4
pp: 152-155
Yuting Hu , School of Mathematics and system science, Beihang University, Beijing, China
Haiquan Wang , State Key Laboratory of Virtual Reality Technology and System, Beihang University, Beijing, China
Chunhe Xia , State Key Laboratory of Virtual Reality Technology and System, Beihang University, Beijing, China
Weiguo Li , School of Software, Beihang University, Beijing, China
Ying Yang , School of Software, Beihang University, Beijing, China
ABSTRACT
Inter contact time (ICT) between two mobile nodes is essential to forwarding algorithms and the end-to-end delay in Delay Tolerant Networks (DTNs). However, studies regarding the distribution of ICT lack general applicability and the exponential parameter concerns with too many motion characteristics. Consequently, it is difficult to design the protocol and analyze the performance for DTNs. In this paper, we demonstrate ICT between two mobile nodes is exponentially distributed and the exponential parameter relates to their historical contact numbers and the cumulative ICTs. Moreover, through extensive experimental simulations, we find that our findings have a general applicability in both theoretical mobility models and real world mobility traces, thus providing guidelines on the design of new mobility models with exponential distribution, new message protocols and further performance analysis methods.
INDEX TERMS
Mobile nodes, Exponential distribution, Testing, Estimation, Delay, Protocols, mobility model, Delay tolerant networks(DTNs), inter contact time(ICT), exponential distribution, parameter estimation
CITATION
Yuting Hu, Haiquan Wang, Chunhe Xia, Weiguo Li, Ying Yang, "On the distribution of inter contact time for DTNs", LCN, 2012, 38th Annual IEEE Conference on Local Computer Networks, 38th Annual IEEE Conference on Local Computer Networks 2012, pp. 152-155, doi:10.1109/LCN.2012.6423594
30 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool