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23881 RoRo-LT: social routing with next-place prediction from self-assessment of spatiotemporal routines
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Türkes, O. and Scholten, J. and Havinga, P.J.M. (2013) RoRo-LT: social routing with next-place prediction from self-assessment of spatiotemporal routines. In: Proceedings of the 10th IEEE International Conference on Ubiquitous Intelligence and Computing, UIC 2013, 18-20 Dec 2013, Vietri sul Mare, Italy. pp. 201-208. IEEE Computer Society. ISBN 978-1-4799-2481-3

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Official URL: http://dx.doi.org/10.1109/UIC-ATC.2013.96

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Abstract

Current trend in store-carry-forward fashioned opportunistic networks is towards utilizing social ties in communities. However, keeping social knowledge/network information up-to-date is a non-trivial task due to ever-changing dynamics such as mobility and other human behavior. Therefore, social-based message forwarding proposals in which network information are initially provided to mobile nodes are subject to lose actuality within time. Motivated with this shortcoming, this study presents a social unicast routing scheme, called RoRo-LT, which is based on self-assessment of people's daily routines. Without requiring any network information, RoRo-LT provides an up-to-date social awareness with long-term spatiotemporal observations. In RoRo-LT, nodes in contact estimate their own future trajectories and decide on forwarding according to their social similarities. In comparison to well-known forwarding schemes, RoRo-LT's performance results indicate a high socio-spatial awareness as well as a reasonable effectiveness for opportunistic routing.

Item Type:Conference or Workshop Paper (Full Paper, Talk)
Research Group:EWI-PS: Pervasive Systems
Research Program:CTIT-WiSe: Wireless and Sensor Systems
Research Project:COMMIT/SENSA: Sensor Networks for Public Safety
Uncontrolled Keywords:delay-tolerant networks, social networks, opportunistic routing, context-awareness, next-place prediction
ID Code:23881
Status:Published
Deposited On:07 January 2014
Refereed:Yes
International:Yes
More Information:statisticsmetis

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