Analyzing the potential of mobile opportunistic networks for big data applications
Authors:
- 8 October 2015
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Network
- Vol. 29 (5) , 57-63
Abstract
The advantages brought by opportunistic data delivery make mobile opportunistic networking a promising technology for big data computing. Thus, it is important to study the potential of mobile opportunistic networks in supporting big data applications by analyzing their fundamental data dissemination properties. However, such an analysis is nontrivial as a large dimension of elements may affect the data spreading behavior in mobile opportunistic networks. In this article, we first outline the challenges of analyzing the potential of mobile opportunistic networks for big data applications. Then we survey the state-of-the-art analytical results on data dissemination properties in mobile opportunistic networks. Finally, we summarize our analytical results and present a few open research issues that may foster future research endeavors on mobile opportunistic networks to support big data applications.Keywords
This publication has 11 references indexed in Scilit:
- The Tempo-Spatial Information Dissemination Properties of Mobile Opportunistic Networks with Levy Mobility2014
- Providing probabilistic guarantees on the time of information spread in opportunistic networks2013
- Characterizing link connectivity for opportunistic mobile networking: Does mobility suffice?2013
- On the throughput-delay trade-off in large-scale MANETs with a generalized i.i.d. mobility model2013
- On the Forwarding Performance under Heterogeneous Contact Dynamics in Mobile Opportunistic NetworksIEEE Transactions on Mobile Computing, 2012
- On the Levy-Walk Nature of Human MobilityIEEE/ACM Transactions on Networking, 2011
- Information Propagation Speed in Mobile and Delay Tolerant NetworksIEEE Transactions on Information Theory, 2010
- The diameter of opportunistic mobile networks2007
- Velocity and Hierarchical Spread of Epidemic Outbreaks in Scale-Free NetworksPhysical Review Letters, 2004
- First passage times of general sequences of random vectors: A large deviations approach11Some of the results in this paper were originally contained in the author’s Ph.D. dissertation, written at the University of Wisconsin-Madison under the supervision of Professor Peter Ney.Stochastic Processes and their Applications, 1998