Select&Spray: towards deployable opportunistic communication in large scale networks

  • Authors:
  • Abderrahmen Mtibaa;Khaled A. Harras

  • Affiliations:
  • Texas A&M, Doha, Qatar;Carnegie Mellon University, Doha, Qatar

  • Venue:
  • Proceedings of the 11th ACM international symposium on Mobility management and wireless access
  • Year:
  • 2013

Quantified Score

Hi-index 0.00

Visualization

Abstract

We present Select&Spray, a novel publish/subscribe communication architecture that extends end mobile user reachability in order to minimize their experienced disconnection times from core infrastructure. Within our architecture, we propose a Select&Spray algorithm that exploits space syntax concepts by interacting with the prebuilt environment in order to better guide forwarding decisions. We adopt a data-driven approach utilizing real mobility traces gathered in different venues to evaluate our algorithms. Our results show that Select&Spray is more efficient in guiding messages towards the more suitable nodes in order to reach the destination. Our algorithm helps extend the reach of data dissemination to more than 20% of the interested destinations within very short delays and outperforms two state of the art infrastructure offloading algorithms, MadNet and Push&Track by 15%.