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Cost efficient data transfer for M2M infrastructure with heterogeneous wireless networks

Published: 26 August 2012 Publication History

Abstract

Machine-to-machine (M2M) networking that connects and manages machines has been gaining much attention and enabling new business models based on emerging applications. For a practical development of M2M networking, cost-effective, scalable, and deployable solutions are requested for data transfer from/to machines distributed in heterogeneous environments. DTN-based store-carry-forward (SCF) approaches have been studied for M2M networking especially in extreme and infrastructure-less environments, where machines send to and receive from only relay nodes by short range wireless communications (e.g., Wifi). In this paper, we combine a pure SCF approach with a mobile data network (e.g., 3G) infrastructure by assuming that a relay node has 3G capability in addition to Wifi capability to allow both end-to-end connection-based and SCF-based communications between the machine and the server, depending on situation. A proof-of-concept scheme for intermediate proxy relay nodes is proposed to exploit an integrated use of a wide-area 3G infrastructure and a high-speed local-ranged Wifi networking. A model-based simulation validates and characterizes the proposed scheme from the view point of communication delay and cost performance.

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  • (2015)M2M-based smart health service for human UI/UX using motion recognitionCluster Computing10.1007/s10586-014-0374-z18:1(221-232)Online publication date: 1-Mar-2015

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    cover image ACM Conferences
    PINGEN '12: Proceedings of the first ACM international workshop on Practical issues and applications in next generation wireless networks
    August 2012
    58 pages
    ISBN:9781450315319
    DOI:10.1145/2348714
    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: 26 August 2012

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    Author Tags

    1. dtn
    2. m2m
    3. store-carry-forward

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    • (2015)M2M-based smart health service for human UI/UX using motion recognitionCluster Computing10.1007/s10586-014-0374-z18:1(221-232)Online publication date: 1-Mar-2015

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