Retiring replicants: congestion control for intermittently-connected networks

  • Authors:
  • Nathanael Thompson;Samuel C. Nelson;Mehedi Bakht;Tarek Abdelzaher;Robin Kravets

  • Affiliations:
  • Dept. of Computer Science, University of Illinois at Urbana-Champaign;Dept. of Computer Science, University of Illinois at Urbana-Champaign;Dept. of Computer Science, University of Illinois at Urbana-Champaign;Dept. of Computer Science, University of Illinois at Urbana-Champaign;Dept. of Computer Science, University of Illinois at Urbana-Champaign

  • Venue:
  • INFOCOM'10 Proceedings of the 29th conference on Information communications
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

The widespread availability of mobile wireless devices offers growing opportunities for the formation of temporary networks with only intermittent connectivity. These intermittently-connected networks (ICNs) typically lack stable end-to-end paths. In order to improve the delivery rates of the networks, new store-carry-and-forward protocols have been proposed which often use message replication as a forwarding mechanism. Message replication is effective at improving delivery, but given the limited resources of ICN nodes, such as buffer space, bandwidth and energy, as well as the highly dynamic nature of these networks, replication can easily overwhelm node resources. In this work we propose a novel node-based replication management algorithm which addresses buffer congestion by dynamically limiting the replication a node performs during each encounter. The insight for our algorithm comes from a stochastic model of message delivery in ICNs with constrained buffer space. We show through simulation that our algorithm is effective, nearly tripling delivery rates in some scenarios, and imposes no or little overhead.