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Adaptive data offloading in opportunistic networks through an actor-critic learning method

Published: 07 September 2014 Publication History

Abstract

Nowadays, the growing popularity of mobile phones has resulted in an exponential growth of mobile data, causing severe traffic overload in the cellular network. A promising approach to overcome this problem is offloading, i.e. to delegate part of the traffic to other networks. In this paper we consider offloading through opportunistic networks of users' devices. Clearly, this strongly depends on mobility patterns, therefore achieving efficient and timely content delivery could be very challenging. In this paper we propose an adaptive offloading solution based on an actor-critic algorithm, which is a type of reinforcement learning algorithm widely used in control problems. More precisely, in our solution the controller of the dissemination process, once trained, is able to perform at any time the most appropriate choice about the number of content replicas to be injected in the opportunistic network to guarantee the timely delivery of contents to all interested users. Our system is able to automatically learn the best strategy to reduce the traffic on the cellular network, without relying on any additional context information about the opportunistic network. Finally, our solution reaches higher level of offloading w.r.t. other state of art approaches, in a range of different mobility settings.

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  • (2023)A Joint Analysis of Input Resolution and Quantization Precision in Deep LearningProceedings of the 29th Annual International Conference on Mobile Computing and Networking10.1145/3570361.3615753(1-3)Online publication date: 2-Oct-2023
  • (2023)An Era of Mobile Data Offloading Opportunities: A Comprehensive SurveyMobile Networks and Applications10.1007/s11036-023-02116-829:1(13-28)Online publication date: 22-Feb-2023
  • (2023)Imposition recognition in vehicular networks using hybrid offloading techniques with improved radial bias neural networkSoft Computing10.1007/s00500-023-09122-827:20(15425-15441)Online publication date: 25-Aug-2023
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      cover image ACM Conferences
      CHANTS '14: Proceedings of the 9th ACM MobiCom workshop on Challenged networks
      September 2014
      104 pages
      ISBN:9781450330718
      DOI:10.1145/2645672
      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: 07 September 2014

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      Author Tags

      1. actor-critic learning
      2. mobile data offloading
      3. opportunistic networks

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      CHANTS '14 Paper Acceptance Rate 15 of 37 submissions, 41%;
      Overall Acceptance Rate 61 of 159 submissions, 38%

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      Cited By

      View all
      • (2023)A Joint Analysis of Input Resolution and Quantization Precision in Deep LearningProceedings of the 29th Annual International Conference on Mobile Computing and Networking10.1145/3570361.3615753(1-3)Online publication date: 2-Oct-2023
      • (2023)An Era of Mobile Data Offloading Opportunities: A Comprehensive SurveyMobile Networks and Applications10.1007/s11036-023-02116-829:1(13-28)Online publication date: 22-Feb-2023
      • (2023)Imposition recognition in vehicular networks using hybrid offloading techniques with improved radial bias neural networkSoft Computing10.1007/s00500-023-09122-827:20(15425-15441)Online publication date: 25-Aug-2023
      • (2022)OfflineManager: A Lightweight Approach for Managing Offline Status in Mobile ApplicationsProceedings of the 16th Brazilian Symposium on Software Components, Architectures, and Reuse10.1145/3559712.3559717(30-39)Online publication date: 3-Oct-2022
      • (2021)Data Offloading via Optimal Target Set Selection in Opportunistic NetworksMobile Networks and Applications10.1007/s11036-021-01760-2Online publication date: 29-Apr-2021
      • (2018)A Survey of Opportunistic OffloadingIEEE Communications Surveys & Tutorials10.1109/COMST.2018.280824220:3(2198-2236)Online publication date: Nov-2019
      • (2018)Vehicular Wi-Fi Offloading in Heterogeneous Vehicular NetworksMobile Networks and Applications10.1007/s11036-017-0916-823:3(560-579)Online publication date: 1-Jun-2018
      • (2016)Should I seed or should I not: On the remuneration of seeders in D2D offloading2016 IEEE 17th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM)10.1109/WoWMoM.2016.7523496(1-9)Online publication date: Jun-2016
      • (2016)Smart Congestion Control for Delay- and Disruption Tolerant Networks2016 13th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)10.1109/SAHCN.2016.7733018(1-9)Online publication date: Jun-2016
      • (2015)Offloading cellular traffic with opportunistic networks: a feasibility study2015 14th Annual Mediterranean Ad Hoc Networking Workshop (MED-HOC-NET)10.1109/MedHocNet.2015.7173296(1-8)Online publication date: Jun-2015
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