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Delegation forwarding

Published: 26 May 2008 Publication History

Abstract

Mobile opportunistic networks are characterized by unpredictable mobility, heterogeneity of contact rates and lack of global information. Successful delivery of messages at low costs and delays in such networks is thus challenging. Most forwarding algorithms avoid the cost associated with flooding the network by forwarding only to nodes that are likely to be good relays, using a quality metric associated with nodes. However it is non-trivial to decide whether an encountered node is a good relay at the moment of encounter. Thus the problem is in part one of online inference of the quality distribution of nodes from sequential samples, and has connections to optimal stopping theory. Based on these observations we develop a new strategy for forwarding, which we refer to as delegation forwarding.
We analyse two variants of delegation forwarding and show that while naive forwarding to high contact rate nodes has cost linear in the population size, the cost of delegation forwarding is proportional to the square root of population size. We then study delegation forwarding with different metrics using real mobility traces and show that delegation forwarding performs as well as previously proposed algorithms at much lower cost. In particular we show that the delegation scheme based on destination contact rate does particularly well.

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    cover image ACM Conferences
    MobiHoc '08: Proceedings of the 9th ACM international symposium on Mobile ad hoc networking and computing
    May 2008
    474 pages
    ISBN:9781605580739
    DOI:10.1145/1374618
    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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    Publication History

    Published: 26 May 2008

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    Author Tags

    1. delay-tolerant networks
    2. forwarding algorithms
    3. mobile opportunistic networks
    4. optimal stopping
    5. pocket switched networks

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    Cited By

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    • (2023)FiFo: Fishbone Forwarding in Massive IoT NetworksIEEE Internet of Things Journal10.1109/JIOT.2022.321694710:5(4339-4352)Online publication date: 1-Mar-2023
    • (2023)Acceleration of Sociality-Aware Message Routing in Opportunistic Networks2023 Eleventh International Symposium on Computing and Networking Workshops (CANDARW)10.1109/CANDARW60564.2023.00016(45-51)Online publication date: 27-Nov-2023
    • (2023)Opportunistic Networks: An Empirical Research of Routing Protocols and Mobility ModelsSN Computer Science10.1007/s42979-023-02054-y4:5Online publication date: 28-Aug-2023
    • (2022)An Energy-equilibrium Opportunity network routing algorithm based on Game theory and Historical similarity rate2022 18th International Conference on Mobility, Sensing and Networking (MSN)10.1109/MSN57253.2022.00026(76-83)Online publication date: Dec-2022
    • (2022)Construction of Optimal Membership Functions for a Fuzzy Routing Scheme in Opportunistic Mobile NetworksIEEE Access10.1109/ACCESS.2022.322721310(128498-128513)Online publication date: 2022
    • (2022)Proliferation of Opportunistic Routing: A Systematic ReviewIEEE Access10.1109/ACCESS.2021.313692710(5855-5883)Online publication date: 2022
    • (2022)A replication strategy for mobile opportunistic networks based on utility clusteringAd Hoc Networks10.1016/j.adhoc.2021.102738125:COnline publication date: 1-Feb-2022
    • (2022)Eigen Vector Centrality (EVC) Routing for Delay Tolerant Networks: A Time Associated Matrix-Based ApproachWireless Personal Communications10.1007/s11277-022-09996-1128:2(1217-1233)Online publication date: 12-Sep-2022
    • (2022)Routing Protocols in an Opportunistic Network: A SurveyComputer Networks, Big Data and IoT10.1007/978-981-19-0898-9_14(185-195)Online publication date: 22-May-2022
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