Abstract
Recently, context awareness in Intermittently Connected Mobile Networks (ICMNs) has gained popularity in order to discover social similarities among mobile entities. Nevertheless, most of the contextual methods depend on network knowledge obtained with unrealistic scenarios. Mobile entities should have a self-knowledge determination in order to estimate their activity routines in a group of communities. This paper presents a periodicity awareness model which relies on introspective spatiotemporal observations. In this model, hourly, daily, and weekly locations of mobile entities are being tracked to predict future trajectories and periodicities within a targeted time period. Realistic simulations are utilized to analyze the predictions in weekly observation sets. The results show that a reasonable accuracy with an increasing level of determination can be obtained which does not require global network knowledge. In this regard, the presented model can give insights for any type of ICMN objectives.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Khabbaz, M., Assi, C., Fawaz, W.: Disruption-tolerant networking: A comprehensive survey on recent developments and persisting challenges. IEEE Communications Surveys Tutorials 14(2), 607–640 (2012)
Bellavista, P., Corradi, A., Fanelli, M., Foschini, L.: A survey of context data distribution for mobile ubiquitous systems. ACM Comput. Surv. 44(4), 24:1–24:45 (2012)
Zhu, Y., Xu, B., Shi, X., Wang, Y.: A survey of social-based routing in delay tolerant networks: Positive and negative social effects. IEEE Communications Surveys Tutorials 15(1), 387–401 (2013)
Hsu, W.-J., Dutta, D., Helmy, A.: Profile-cast: Behavior-aware mobile networking. In: Wireless Communications and Networking Conference, WCNC 2008, March 31-April 3, pp. 3033–3038. IEEE (2008)
Thakur, G.S., Helmy, A., Hsu, W.-J.: Similarity analysis and modeling in mobile societies: the missing link. In: Proceedings of the 5th ACM Workshop on Challenged networks, CHANTS 2010, pp. 13–20. ACM, New York (2010)
Moon, S., Helmy, A.: Understanding periodicity and regularity of nodal encounters inmobile networks: A spectral analysis. In: 2010 IEEE Global Telecommunications Conference (GLOBECOM 2010), pp. 1–5 (December 2010)
Keränen, A., Ott, J., Kärkkäinen, T.: The ONE Simulator for DTN Protocol Evaluation. In: SIMUTools 2009: Proceedings of the 2nd International Conference on Simulation Tools and Techniques, ICST, New York, NY, USA (2009)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Turkes, O., Scholten, H., Havinga, P. (2014). Introspection-Based Periodicity Awareness Model for Intermittently Connected Mobile Networks. In: Park, J., Adeli, H., Park, N., Woungang, I. (eds) Mobile, Ubiquitous, and Intelligent Computing. Lecture Notes in Electrical Engineering, vol 274. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40675-1_61
Download citation
DOI: https://doi.org/10.1007/978-3-642-40675-1_61
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40674-4
Online ISBN: 978-3-642-40675-1
eBook Packages: EngineeringEngineering (R0)