Abstract
Exploiting opportunistic contacts between mobile devices to enable deployment of real applications through reliable and efficient data transfers poses a significant research challenge. Indeed, accurate prediction of contact volume, defined as the maximum amount of data transferable during a contact, can improve performance of deployments. However, existing schemes for estimating contact volume that make use of preconceived patterns or contact time distributions may not be applicable in uncertain environments. In this paper, we propose a novel scheme called PCV that predicts contact volume in soft real-time to enable efficient and reliable data transfers in opportunistic networks. An Android Application that learns data rate profiles has been developed to facilitate PCV. In addition, an analytical model has been developed to depict variable data rates between mobile devices. Extensive simulations are carried out on both synthetic and real-world mobility traces to validate the usefulness of PCV. Experimental results show the effectiveness of our approach in terms of reliable data transfers. © 2013 IEEE.
Recommended Citation
S. Qayyum et al., "PCV: Predicting Contact Volume for Reliable and Efficient Data Transfers in Opportunistic Networks," Proceedings - Conference on Local Computer Networks, LCN, pp. 801 - 809, article no. 6761335, Institute of Electrical and Electronics Engineers, Jan 2013.
The definitive version is available at https://doi.org/10.1109/LCN.2013.6761335
Department(s)
Computer Science
Keywords and Phrases
Contact duration; Contact Volume; Data Rate Profile; Opportunistic networks
International Standard Book Number (ISBN)
978-147990537-9
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 Jan 2013
