Efficient data forwarding in mobile social networks with diverse connectivity characteristics

Xiaomei Zhang, Guohong Cao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

Mobile Social Network (MSN) with diverse connectivity characteristics is a combination of opportunistic network and mobile ad hoc network. Since the major difficulty of data forwarding is the opportunistic part, techniques designed for opportunistic networks are commonly used to forward data in MSNs. However, this may not be the best solution since they do not consider the ubiquitous existences of Transient Connected Components (TCCs), where nodes inside a TCC can reach each other by multi-hop wireless communications. In this paper, we first identify the existence of TCCs and analyze their properties based on five real traces. Then, we propose TCC-aware data forwarding strategies which exploit the special characteristics of TCCs to increase the contact opportunities and then improve the performance of data forwarding. Trace-driven simulations show that our TCC-aware data forwarding strategies outperform existing data forwarding strategies in terms of data delivery ratio and network overhead.

Original languageEnglish (US)
Title of host publicationProceedings - International Conference on Distributed Computing Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages31-40
Number of pages10
ISBN (Electronic)9781479951680
DOIs
StatePublished - Aug 29 2014
Event2014 IEEE 34th International Conference on Distributed Computing Systems, ICDCS 2014 - Madrid, Spain
Duration: Jun 30 2014Jul 3 2014

Publication series

NameProceedings - International Conference on Distributed Computing Systems

Other

Other2014 IEEE 34th International Conference on Distributed Computing Systems, ICDCS 2014
CountrySpain
CityMadrid
Period6/30/147/3/14

Fingerprint

Mobile ad hoc networks
Communication

All Science Journal Classification (ASJC) codes

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

Cite this

Zhang, X., & Cao, G. (2014). Efficient data forwarding in mobile social networks with diverse connectivity characteristics. In Proceedings - International Conference on Distributed Computing Systems (pp. 31-40). [6888880] (Proceedings - International Conference on Distributed Computing Systems). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDCS.2014.12
Zhang, Xiaomei ; Cao, Guohong. / Efficient data forwarding in mobile social networks with diverse connectivity characteristics. Proceedings - International Conference on Distributed Computing Systems. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 31-40 (Proceedings - International Conference on Distributed Computing Systems).
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Zhang, X & Cao, G 2014, Efficient data forwarding in mobile social networks with diverse connectivity characteristics. in Proceedings - International Conference on Distributed Computing Systems., 6888880, Proceedings - International Conference on Distributed Computing Systems, Institute of Electrical and Electronics Engineers Inc., pp. 31-40, 2014 IEEE 34th International Conference on Distributed Computing Systems, ICDCS 2014, Madrid, Spain, 6/30/14. https://doi.org/10.1109/ICDCS.2014.12

Efficient data forwarding in mobile social networks with diverse connectivity characteristics. / Zhang, Xiaomei; Cao, Guohong.

Proceedings - International Conference on Distributed Computing Systems. Institute of Electrical and Electronics Engineers Inc., 2014. p. 31-40 6888880 (Proceedings - International Conference on Distributed Computing Systems).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Zhang X, Cao G. Efficient data forwarding in mobile social networks with diverse connectivity characteristics. In Proceedings - International Conference on Distributed Computing Systems. Institute of Electrical and Electronics Engineers Inc. 2014. p. 31-40. 6888880. (Proceedings - International Conference on Distributed Computing Systems). https://doi.org/10.1109/ICDCS.2014.12