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

Published: 03 November 2013 Publication History

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%.

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      cover image ACM Conferences
      MobiWac '13: Proceedings of the 11th ACM international symposium on Mobility management and wireless access
      November 2013
      168 pages
      ISBN:9781450323550
      DOI:10.1145/2508222
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 03 November 2013

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      Author Tags

      1. data dissemination
      2. opportunistic networking
      3. select & spray

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      MobiWac '13 Paper Acceptance Rate 21 of 68 submissions, 31%;
      Overall Acceptance Rate 83 of 272 submissions, 31%

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      • (2024)ModeSense: Ubiquitous and Accurate Transportation Mode Detection using Serving Cell Tower InformationProceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems10.1145/3678717.3691250(184-195)Online publication date: 29-Oct-2024
      • (2018)Message in a BottleProceedings of the 13th Workshop on Challenged Networks10.1145/3264844.3264852(63-69)Online publication date: 1-Oct-2018
      • (2018)Disseminating Multilayer Multimedia Content Over Challenged NetworksIEEE Transactions on Multimedia10.1109/TMM.2017.274418320:2(345-360)Online publication date: 1-Feb-2018
      • (2017)On the shortcoming of DTN solutions in rural mHealth applications2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC)10.1109/IWCMC.2017.7986506(1502-1507)Online publication date: Jun-2017
      • (2017)Adaptive forwarding of mHealth data in challenged networks2017 IEEE 19th International Conference on e-Health Networking, Applications and Services (Healthcom)10.1109/HealthCom.2017.8210756(1-7)Online publication date: Oct-2017
      • (2016)The Emergency Direct Mobile AppProceedings of the 14th ACM International Symposium on Mobility Management and Wireless Access10.1145/2989250.2989257(99-106)Online publication date: 13-Nov-2016
      • (2015)Reliable Topology Design in Time-Evolving Delay-Tolerant Networks with Unreliable LinksIEEE Transactions on Mobile Computing10.1109/TMC.2014.234539214:6(1301-1314)Online publication date: 1-Jun-2015

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