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Collaborative cognitive content dissemination and query in heterogeneous mobile opportunistic networks

Radenkovic, Milena; Huynh, Vu San Ha

Collaborative cognitive content dissemination and query in heterogeneous mobile opportunistic networks Thumbnail


Authors

Vu San Ha Huynh



Abstract

This paper investigates complex challenges of opportunistic discovery of content stored in remote mobile devices and delivery to the requesting nodes in heterogeneous mobile disconnection prone environments. We propose new latency aware collaborative cognitive caching approach suitable for content dissemination and query in heterogeneous opportunistic mobile networks and dynamic workloads. Utilising fully localised and ego networks multi-layer predictive heuristics about dynamically changing topology, dynamic resources and varying popularity content, our cognitive caching achieves high success ratio, low delays and high caching efficiency for very different real world dynamically changing mobile topologies.

Citation

Radenkovic, M., & Huynh, V. S. H. Collaborative cognitive content dissemination and query in heterogeneous mobile opportunistic networks. Presented at 3rd Workshop on Experiences with the Design and Implementation of Smart Objects, MobiCom 2017, Oct 2017, Snowbird, United States 2017

Conference Name 3rd Workshop on Experiences with the Design and Implementation of Smart Objects, MobiCom 2017, Oct 2017, Snowbird, United States 2017
End Date Oct 20, 2017
Acceptance Date Jul 24, 2017
Publication Date Oct 20, 2017
Deposit Date Aug 2, 2017
Publicly Available Date Nov 3, 2017
Peer Reviewed Peer Reviewed
Keywords Opportunistic networks, caching, latency awareness,
congestion awareness
Public URL https://nottingham-repository.worktribe.com/output/888864
Publisher URL https://dl.acm.org/citation.cfm?doid=3127502.3127513
Additional Information Published in: SMARTOBJECTS '17 Proceedings of the 3rd Workshop on Experiences with the Design and Implementation of Smart Objects, p. 7-12. Snowbird, Utah, USA — October 16-20, 2017. ACM : New York, NY, USA, ©2017 ISBN: 9781450351416 doi:10.1145/3127502.3127513
Contract Date Aug 2, 2017

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