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    Opportunistic Routing for Interactive Traffic in Wireless Networks


    Li, Tianji, Leith, Douglas J. and Qiu, Lili (2010) Opportunistic Routing for Interactive Traffic in Wireless Networks. Distributed Computing Systems (ICDCS), 2010 IEEE 30th International Conference on . pp. 458-467. ISSN 1063-6927

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    Abstract

    To take advantage of the broadcast nature of wireless communication, a number of opportunistic routing protocols have recently been proposed. In order to manage the extra signaling overhead associated with operation of the opportunistic routing, these schemes work in terms of ‘batches’ that consist of multiple packets. While these opportunistic protocols can dramatically improve the total throughput, the use of batches means that they are best suited to bulk UDP transfer. However, in the Internet and wireless networks, the vast majority of the traffic is interactive (e.g., TCP/VoIP which requires close interactions and feedback between the two communicating end points). To effectively support interactive traffic, we develop a new opportunistic routing protocol, called RIPPLE. RIPPLE uses an expedited multi-hop transmission opportunity mechanism to achieve low signaling overhead and eliminate re-ordering, and uses a two-way packet aggregation technique to further reduce overhead. We implement the RIPPLE in NS-2 along with several existing routing protocols, including predetermined routing, shortest path routing, the early version of ExOR, MCExOR, and an IEEE 802.11n-like single-hop packet aggregation scheme called AFR. We compare their performance for long- and shortlived TCP transfers and VoIP traffic over a wide range of network conditions, including varying wireless channel states, collision levels, and types of network topologies. Our results show that the RIPPLE scheme consistently achieves 100% – 300% performance gains over other approaches.
    Item Type: Article
    Keywords: Medium access control (MAC); Opportunistic Routing; IEEE 802.11; Wireless LANs (WLANs); Wireless Mesh Networks;
    Academic Unit: Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 2203
    Identification Number: ISBN 978-1-4244-7261-1
    Depositing User: Professsor Douglas Leith
    Date Deposited: 19 Oct 2010 15:56
    Journal or Publication Title: Distributed Computing Systems (ICDCS), 2010 IEEE 30th International Conference on
    Publisher: IEEE
    Refereed: Yes
    Related URLs:
    URI: https://mu.eprints-hosting.org/id/eprint/2203
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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